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Jenkins BM, Dixon LD, Kokesh KJ, Zingariello CD, Vandenborne K, Walter GA, Barnard AM. Skeletal muscle symptoms and quantitative MRI in females with dystrophinopathy. Muscle Nerve 2024; 70:988-999. [PMID: 39221574 PMCID: PMC11493146 DOI: 10.1002/mus.28235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 08/04/2024] [Accepted: 08/06/2024] [Indexed: 09/04/2024]
Abstract
INTRODUCTION/AIMS The dystrophinopathies primarily affect males; however, female carriers of pathogenic dystrophin variants can develop skeletal muscle symptoms. This study aimed to evaluate muscle involvement and symptoms in females with dystrophinopathy using quantitative magnetic resonance imaging (MRI), functional assessments, and patient-reported outcomes. METHODS Controls and females with dystrophinopathy with muscle symptoms of pain, weakness, fatigue, or excessive tightness were enrolled in this cross-sectional study. Participants underwent lower extremity MRI to quantify muscle inflammation, replacement by fat, and disease asymmetry. Cardiac MRI, functional ability, muscle symptoms, and serum creatine kinase levels were also evaluated. RESULTS Six pediatric females with dystrophinopathy (mean age: 11.7 years), 11 adult females with dystrophinopathy (mean age: 41.3 years), and seven controls enrolled. The mean fat fraction was increased in females with dystrophinopathy compared to controls in the soleus (0.11 vs. 0.03, p = .0272) and vastus lateralis (0.16 vs. 0.03, p = .004). Magnetic resonance spectroscopy water T2, indicative of muscle inflammation, was elevated in the soleus and/or vastus lateralis in 11 of 17 individuals. North Star Ambulatory Assessment score was lower in the dystrophinopathy group compared to controls (29 vs. 34 points, p = .0428). From cardiac MRI, left ventricle T1 relaxation times were elevated in females with dystrophinopathy compared to controls (1311 ± 55 vs. 1263 ± 25 ms, p < .05), but ejection fraction and circumferential strain did not differ. DISCUSSION Symptomatic females with dystrophinopathy quantitatively demonstrate muscle replacement by fat and inflammation, along with impairments in functional ability and cardiac function. Additional research is needed to evaluate how symptoms and muscle involvement change longitudinally.
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Affiliation(s)
| | | | - Kevin J Kokesh
- Department of Pediatrics, Division of Pulmonology; University of Florida
| | - Carla D Zingariello
- Department of Pediatrics, Division of Pediatric Neurology; University of Florida
| | | | - Glenn A Walter
- Department of Physiology and Aging; University of Florida
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Yoshida T, Albayda J. Imaging Modalities in Myositis: A Clinical Review. Rheum Dis Clin North Am 2024; 50:641-659. [PMID: 39415372 DOI: 10.1016/j.rdc.2024.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2024]
Abstract
This review highlights the key role of imaging modalities in diagnosing and managing myositis. The authors underscore MRI's superiority in identifying muscle edema and fat infiltration, marking it as essential for evaluating disease activity and damage. They also suggest ultrasound's emerging significance for diagnosis and monitoring of the disease, valued for its ease of use, and real-time capabilities. Furthermore, PET scans' unique physiologic capabilities, especially useful for malignancy detection and assessing lung disease, are emphasized. Collectively, these imaging techniques offer a tailored approach to myositis management, facilitate precise diagnosis, effective treatment planning, and disease activity monitoring, thereby enhancing patient outcomes in rheumatology practice.
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Affiliation(s)
- Takeshi Yoshida
- Department of Rheumatology, Chikamori Hospital, Kochi, Japan; Department of Neurology, Tokushima University Hospital, Tokushima, Japan; Division of Rheumatology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Jemima Albayda
- Division of Rheumatology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
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Lavalle S, Scapaticci R, Masiello E, Messina C, Aliprandi A, Mario Salerno V, Russo A, Pegreffi F. Advancements in sarcopenia diagnosis: from imaging techniques to non-radiation assessments. FRONTIERS IN MEDICAL TECHNOLOGY 2024; 6:1467155. [PMID: 39445171 PMCID: PMC11496100 DOI: 10.3389/fmedt.2024.1467155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Accepted: 09/13/2024] [Indexed: 10/25/2024] Open
Abstract
Sarcopenia is a prevalent condition with significant clinical implications, and it is expected to escalate globally, demanding for effective diagnostic strategies, possibly at an early stage of the disease. Imaging techniques play a pivotal role in comprehensively evaluating sarcopenia, offering insights into both muscle quantity and quality. Among all the imaging techniques currently used for the diagnosis and follow up of sarcopenia, it is possible to distinguish two classes: Rx based techniques, using ionizing radiations, and non-invasive techniques, which are based on the use of safe and low risk diagnostic procedures. Dual-energy x-ray Absorptiometry and Computed Tomography, while widely utilized, entail radiation exposure concerns. Ultrasound imaging offers portability, real-time imaging, and absence of ionizing radiation, making it a promising tool Magnetic Resonance Imaging, particularly T1-weighted and Dixon sequences, provides cross- sectional and high-resolution images and fat-water separation capabilities, facilitating precise sarcopenia quantification. Bioelectrical Impedance Analysis (BIA), a non-invasive technique, estimates body composition, including muscle mass, albeit influenced by hydration status. Standardized protocols, such as those proposed by the Sarcopenia through Ultrasound (SARCUS) Working Group, are imperative for ensuring consistency across assessments. Future research should focus on refining these techniques and harnessing the potential of radiomics and artificial intelligence to enhance diagnostic accuracy and prognostic capabilities in sarcopenia.
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Affiliation(s)
- Salvatore Lavalle
- Department of Medicine and Surgery, Kore University of Enna, Enna, Italy
| | - Rosa Scapaticci
- Institute for the Electromagnetic Sensing of the Environment, National Research Council of Italy, Naples, Italy
| | - Edoardo Masiello
- Department of Radiology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Carmelo Messina
- Department of Radiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | | | | | - Arcangelo Russo
- Department of Medicine and Surgery, Kore University of Enna, Enna, Italy
| | - Francesco Pegreffi
- Department of Medicine and Surgery, Kore University of Enna, Enna, Italy
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Reyngoudt H, Baudin PY, Carlier PG, Lopez Kolkovsky AL, de Almeida Araujo EC, Marty B. New Insights into the Spread of MRS-Based Water T2 Values Observed in Highly Fatty Replaced Muscles. J Magn Reson Imaging 2023; 58:1557-1568. [PMID: 36877200 DOI: 10.1002/jmri.28669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 02/15/2023] [Accepted: 02/17/2023] [Indexed: 03/07/2023] Open
Abstract
BACKGROUND The reference standard for assessing water T2 (T2,H2O ) at high fat fraction (FF) is 1 H MRS. T2,H2O (T2,H2O,MRS ) dependence on FF (FFMRS ) has recently been demonstrated in muscle at high FF (i.e. ≥60%). PURPOSE To investigate the relationship between T2,H2O,MRS and FFMRS in the thigh/leg muscles of patients with neuromuscular diseases and to compare with quantitative MRI. STUDY TYPE Retrospective case-control study. POPULATION A total of 151 patients with neuromuscular disorders (mean age ± standard deviation = 52.5 ± 22.6 years, 54% male), 44 healthy volunteers (26.5 ± 13.0 years, 57% male). FIELD STRENGTH/SEQUENCE A 3-T; single-voxel stimulated echo acquisition mode (STEAM) MRS, multispin echo (MSE) imaging (for T2 mapping, T2,H2O,MRI ), three-point Dixon imaging (for FFMRI andR 2 * mapping). ASSESSMENT Mono-exponential and bi-exponential models were fitted to water T2 decay curves to extract T2,H2O,MRS and FFMRS . Water resonance full-width-at-half-maximum (FWHM) and B0 spread (∆B0 ) values were calculated. T2,H2O,MRI (mean), FFMRI (mean, kurtosis, and skewness), andR 2 * (mean) values were estimated in the MRS voxel. STATISTICAL TESTS Mann-Whitney U tests, Kruskal-Wallis tests. A P-value <0.05 was considered statistically significant. RESULTS Normal T2,H2O,MRS threshold was defined as the 90th percentile in healthy controls: 30.3 msec. T2,H2O,MRS was significantly higher in all patients with FFMRS < 60% compared to healthy controls. We discovered two subgroups in patients with FFMRS ≥ 60%: one with T2,H2O,MRS ≥ 30.3 msec and one with T2,H2O,MRS < 30.3 msec including abnormally low T2,H2O,MRS . The latter subgroup had significantly higher water resonance FWHM, ∆B0 , FFMRI kurtosis, and skewness values but nonsignificantly differentR 2 * (P = 1.00) and long T2,H2O,MRS component and its fraction (P > 0.11) based on the bi-exponential analysis. DATA CONCLUSION The findings suggest that the cause for (abnormally) T2,H2O,MRS at high FFMRS is biophysical, due to differences in susceptibility between muscle and fat (increased FWHM and ∆B0 ), rather than pathophysiological such as compartmentation changes, which would be reflected by the bi-exponential analysis. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Harmen Reyngoudt
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Pierre-Yves Baudin
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Pierre G Carlier
- Université Paris Saclay, CEA, Service Hospitalier Frédéric Joliot, Orsay, France
| | | | | | - Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
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Tan AL, Di Matteo A, Wakefield RJ, Biglands J. Update on muscle imaging in myositis. Curr Opin Rheumatol 2023; 35:395-403. [PMID: 37656661 PMCID: PMC10552815 DOI: 10.1097/bor.0000000000000975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/03/2023]
Abstract
PURPOSE OF REVIEW Imaging techniques such as MRI, ultrasound and PET/computed tomography (CT) have roles in the detection, diagnosis and management of myositis or idiopathic inflammatory myopathy (IIM). Imaging research has also provided valuable knowledge in the understanding of the pathology of IIM. This review explores the latest advancements of these imaging modalities in IIM. RECENT FINDINGS Recent advancements in imaging of IIM have seen a shift away from manual and qualitative analysis of the images. Quantitative MRI provides more objective, and potentially more sensitive characterization of fat infiltration and inflammation in muscles. In addition to B-mode ultrasound changes, shearwave elastography offers a new dimension to investigating IIM. PET/CT has the added advantage of including IIM-associated findings such as malignancies. SUMMARY It is evident that MRI, ultrasound and PET/CT have important roles in myositis. Continued technological advancement and a quest for more sophisticated applications help drive innovation; this has especially been so of machine learning/deep learning using artificial intelligence and the developing promise of texture analysis.
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Affiliation(s)
- Ai Lyn Tan
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds
- NIHR Leeds Biomedical Research Centre, Chapel Allerton Hospital
| | - Andrea Di Matteo
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds
- NIHR Leeds Biomedical Research Centre, Chapel Allerton Hospital
| | - Richard J. Wakefield
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds
- NIHR Leeds Biomedical Research Centre, Chapel Allerton Hospital
| | - John Biglands
- NIHR Leeds Biomedical Research Centre, Chapel Allerton Hospital
- Department of Medical Physics & Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, UK
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de Visser M, Carlier P, Vencovský J, Kubínová K, Preusse C. 255th ENMC workshop: Muscle imaging in idiopathic inflammatory myopathies. 15th January, 16th January and 22nd January 2021 - virtual meeting and hybrid meeting on 9th and 19th September 2022 in Hoofddorp, The Netherlands. Neuromuscul Disord 2023; 33:800-816. [PMID: 37770338 DOI: 10.1016/j.nmd.2023.08.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 08/20/2023] [Accepted: 08/25/2023] [Indexed: 09/30/2023]
Abstract
The 255th ENMC workshop on Muscle Imaging in Idiopathic Inflammatory myopathies (IIM) aimed at defining recommendations concerning the applicability of muscle imaging in IIM. The workshop comprised of clinicians, researchers and people living with myositis. We aimed to achieve consensus on the following topics: a standardized protocol for the evaluation of muscle images in various types of IIMs; the exact parameters, anatomical localizations and magnetic resonance imaging (MRI) techniques; ultrasound as assessment tool in IIM; assessment methods; the pattern of muscle involvement in IIM subtypes; the application of MRI as biomarker in follow-up studies and clinical trials, and the place of MRI in the evaluation of swallowing difficulty and cardiac manifestations. The following recommendations were formulated: In patients with suspected IIM, muscle imaging is highly recommended to be part of the initial diagnostic workup and baseline assessment. MRI is the preferred imaging modality due to its sensitivity to both oedema and fat accumulation. Ultrasound may be used for suspected IBM. Repeat imaging should be considered if patients do not respond to treatment, if there is ongoing diagnostic uncertainty or there is clinical or laboratory evidence of disease relapse. Quantitative MRI is established as a sensitive biomarker in IBM and could be included as a primary or secondary outcome measure in early phase clinical trials, or as a secondary outcome measure in late phase clinical trials. Finally, a research agenda was drawn up.
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Affiliation(s)
- Marianne de Visser
- Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Centre, Location Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
| | | | - Jiří Vencovský
- Institute of Rheumatology, Department of Rheumatology, Charles University, Prague, Czech Republic
| | - Kateřina Kubínová
- Institute of Rheumatology, Department of Rheumatology, Charles University, Prague, Czech Republic
| | - Corinna Preusse
- Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health Department of Neuropathology, Berlin, Germany
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Engelke K, Chaudry O, Gast L, Eldib MAB, Wang L, Laredo JD, Schett G, Nagel AM. Magnetic resonance imaging techniques for the quantitative analysis of skeletal muscle: State of the art. J Orthop Translat 2023; 42:57-72. [PMID: 37654433 PMCID: PMC10465967 DOI: 10.1016/j.jot.2023.07.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 07/04/2023] [Accepted: 07/19/2023] [Indexed: 09/02/2023] Open
Abstract
Background Magnetic resonance imaging (MRI) is the dominant 3D imaging modality to quantify muscle properties in skeletal muscle disorders, in inherited and acquired muscle diseases, and in sarcopenia, in cachexia and frailty. Methods This review covers T1 weighted and Dixon sequences, introduces T2 mapping, diffusion tensor imaging (DTI) and non-proton MRI. Technical concepts, strengths, limitations and translational aspects of these techniques are discussed in detail. Examples of clinical applications are outlined. For comparison 31P-and 13C-MR Spectroscopy are also addressed. Results MRI technology provides a rich toolset to assess muscle deterioration. In addition to classical measures such as muscle atrophy using T1 weighted imaging and fat infiltration using Dixon sequences, parameters characterizing inflammation from T2 maps, tissue sodium using non-proton MRI techniques or concentration or fiber architecture using diffusion tensor imaging may be useful for an even earlier diagnosis of the impairment of muscle quality. Conclusion Quantitative MRI provides new options for muscle research and clinical applications. Current limitations that also impair its more widespread use in clinical trials are lack of standardization, ambiguity of image segmentation and analysis approaches, a multitude of outcome parameters without a clear strategy which ones to use and the lack of normal data.
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Affiliation(s)
- Klaus Engelke
- Department of Medicine III, Friedrich-Alexander University of Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
- Institute of Medical Physics (IMP), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Henkestr. 91, 91052, Erlangen, Germany
- Clario Inc, Germany
| | - Oliver Chaudry
- Department of Medicine III, Friedrich-Alexander University of Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
| | - Lena Gast
- Institute of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Germany
| | | | - Ling Wang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Jean-Denis Laredo
- Service d’Imagerie Médicale, Institut Mutualiste Montsouris & B3OA, UMR CNRS 7052, Inserm U1271 Université de Paris-Cité, Paris, France
| | - Georg Schett
- Department of Medicine III, Friedrich-Alexander University of Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
| | - Armin M. Nagel
- Institute of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Germany
- Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
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Zubair AS, Salam S, Dimachkie MM, Machado PM, Roy B. Imaging biomarkers in the idiopathic inflammatory myopathies. Front Neurol 2023; 14:1146015. [PMID: 37181575 PMCID: PMC10166883 DOI: 10.3389/fneur.2023.1146015] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/03/2023] [Indexed: 05/16/2023] Open
Abstract
Idiopathic inflammatory myopathies (IIMs) are a group of acquired muscle diseases with muscle inflammation, weakness, and other extra-muscular manifestations. IIMs can significantly impact the quality of life, and management of IIMs often requires a multi-disciplinary approach. Imaging biomarkers have become an integral part of the management of IIMs. Magnetic resonance imaging (MRI), muscle ultrasound, electrical impedance myography (EIM), and positron emission tomography (PET) are the most widely used imaging technologies in IIMs. They can help make the diagnosis and assess the burden of muscle damage and treatment response. MRI is the most widely used imaging biomarker of IIMs and can assess a large volume of muscle tissue but is limited by availability and cost. Muscle ultrasound and EIM are easy to administer and can even be performed in the clinical setting, but they need further validation. These technologies may complement muscle strength testing and laboratory studies and provide an objective assessment of muscle health in IIMs. Furthermore, this is a rapidly progressing field, and new advances are going to equip care providers with a better objective assessment of IIMS and eventually improve patient management. This review discusses the current state and future direction of imaging biomarkers in IIMs.
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Affiliation(s)
- Adeel S. Zubair
- Division of Neuromuscular Diseases, Department of Neurology, Yale University School of Medicine, New Haven, CT, United States
| | - Sharfaraz Salam
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Mazen M. Dimachkie
- Department of Neurology, The University of Kansas Medical Center, Kansas City, KS, United States
| | - Pedro M. Machado
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
- Centre for Rheumatology, Division of Medicine, University College London, London, United Kingdom
| | - Bhaskar Roy
- Division of Neuromuscular Diseases, Department of Neurology, Yale University School of Medicine, New Haven, CT, United States
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Nassar J, Trabelsi A, Amer R, Le Fur Y, Attarian S, Radunsky D, Blumenfeld-Katzir T, Greenspan H, Bendahan D, Ben-Eliezer N. Estimation of subvoxel fat infiltration in neurodegenerative muscle disorders using quantitative multi-T 2 analysis. NMR IN BIOMEDICINE 2023:e4947. [PMID: 37021657 DOI: 10.1002/nbm.4947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 02/13/2023] [Accepted: 03/21/2023] [Indexed: 06/19/2023]
Abstract
MRI's T2 relaxation time is a valuable biomarker for neuromuscular disorders and muscle dystrophies. One of the hallmarks of these pathologies is the infiltration of adipose tissue and a loss of muscle volume. This leads to a mixture of two signal components, from fat and from water, to appear in each imaged voxel, each having a specific T2 relaxation time. In this proof-of-concept work, we present a technique that can separate the signals from water and from fat within each voxel, measure their separate T2 values, and calculate their relative fractions. The echo modulation curve (EMC) algorithm is a dictionary-based technique that offers accurate and reproducible mapping of T2 relaxation times. We present an extension of the EMC algorithm for estimating subvoxel fat and water fractions, alongside the T2 and proton-density values of each component. To facilitate data processing, calf and thigh anatomy were automatically segmented using a fully convolutional neural network and FSLeyes software. The preprocessing included creating two signal dictionaries, for water and for fat, using Bloch simulations of the prospective protocol. Postprocessing included voxelwise fitting for two components, by matching the experimental decay curve to a linear combination of the two simulated dictionaries. Subvoxel fat and water fractions and relaxation times were generated and used to calculate a new quantitative biomarker, termed viable muscle index, and reflecting disease severity. This biomarker indicates the fraction of remaining muscle out of the entire muscle region. The results were compared with those using the conventional Dixon technique, showing high agreement (R = 0.98, p < 0.001). It was concluded that the new extension of the EMC algorithm can be used to quantify abnormal fat infiltration as well as identify early inflammatory processes corresponding to elevation in the T2 value of the water (muscle) component. This new ability may improve the diagnostic accuracy of neuromuscular diseases, help stratification of patients according to disease severity, and offer an efficient tool for tracking disease progression.
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Affiliation(s)
- Jannette Nassar
- Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel
| | | | - Rula Amer
- Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel
| | | | - Shahram Attarian
- Reference Center for Neuromuscular Diseases and ALS, La Timone University Hospital, Aix-Marseille University, Marseille, France
- Inserm, GMGF, Aix Marseille University, Marseille, France
| | - Dvir Radunsky
- Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel
| | | | - Hayit Greenspan
- Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel
| | | | - Noam Ben-Eliezer
- Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- Center for Advanced Imaging Innovation and Research, New York University Langone Medical Center, New York, New York, USA
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Wang F, Zhou S, Hou B, Santini F, Yuan L, Guo Y, Zhu J, Hilbert T, Kober T, Zhang Y, Wang Q, Zhao Y, Jin Z. Assessment of idiopathic inflammatory myopathy using a deep learning method for muscle T2 mapping segmentation. Eur Radiol 2023; 33:2350-2357. [PMID: 36396791 PMCID: PMC9672653 DOI: 10.1007/s00330-022-09254-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 09/19/2022] [Accepted: 10/09/2022] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To investigate the utility of an automatic deep learning (DL) method for segmentation of T2 maps in patients with idiopathic inflammatory myopathy (IIM) against healthy controls, and also the association of quantitative T2 values in patients with laboratory and pulmonary findings. METHODS Structural MRI and T2 mapping of bilateral thigh muscles from patients with IIM and healthy volunteers were segmented using dedicated software based on a pre-trained convolutional neural network. Incremental and federated learning were implemented for continuous adaptation and improvement. Muscle T2 values derived from DL segmentation were compared between patients and healthy controls, and T2 values of patients were further analyzed with serum muscle enzymes, and interstitial lung disease (ILD) which was diagnosed and graded based on chest HRCT. RESULTS Overall, 64 patients (27 patients with dermatomyositis, 29 with polymyositis, and 8 with antisynthetase syndrome (ASS)) and 10 healthy controls were included. By using DL-based muscle segmentation, T2 values generated from T2 maps accurately differentiated patients from those of controls (p < 0.001) with a cutoff value of 36.4 ms (sensitivity 96.9%, and specificity 100%). In patients with IIM, muscle T2 values positively correlated with all the serum muscle enzymes (all p < 0.05). ILD score of patients with ASS was markedly higher than that of those without ASS (p = 0.011), while dissociation between the severity of muscular involvement and ILD was observed (p = 0.080). CONCLUSION Automatic DL could be used to segment thigh muscles and help quantitatively assess muscular inflammation of IIM through T2 mapping. KEY POINTS • Muscle T2 mapping automatically segmented by deep learning can differentiate IIM from healthy controls. • T2 value, an indicator of active muscle inflammation, positively correlates with serum muscle enzymes. • T2 mapping can detect muscle disease in patients with normal muscle enzyme levels.
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Affiliation(s)
- Fengdan Wang
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shuang Zhou
- Department of Rheumatology and Clinical Immunology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Bo Hou
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Francesco Santini
- Department of Research & Analytic Services, University Hospital Basel, Petersgraben 4, CH-4031, Basel, Switzerland.
- Radiological Physics, University Hospital Basel, Basel, Switzerland.
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.
| | - Ling Yuan
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ye Guo
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jinxia Zhu
- MR Collaboration, Siemens Healthcare Ltd., Beijing, China
| | - Tom Hilbert
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Tobias Kober
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Yan Zhang
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Qian Wang
- Department of Rheumatology and Clinical Immunology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yan Zhao
- Department of Rheumatology and Clinical Immunology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zhengyu Jin
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
- Department of Radiology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan, Dongcheng District, Beijing, China.
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Eck BL, Yang M, Elias JJ, Winalski CS, Altahawi F, Subhas N, Li X. Quantitative MRI for Evaluation of Musculoskeletal Disease: Cartilage and Muscle Composition, Joint Inflammation, and Biomechanics in Osteoarthritis. Invest Radiol 2023; 58:60-75. [PMID: 36165880 PMCID: PMC10198374 DOI: 10.1097/rli.0000000000000909] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
ABSTRACT Magnetic resonance imaging (MRI) is a valuable tool for evaluating musculoskeletal disease as it offers a range of image contrasts that are sensitive to underlying tissue biochemical composition and microstructure. Although MRI has the ability to provide high-resolution, information-rich images suitable for musculoskeletal applications, most MRI utilization remains in qualitative evaluation. Quantitative MRI (qMRI) provides additional value beyond qualitative assessment via objective metrics that can support disease characterization, disease progression monitoring, or therapy response. In this review, musculoskeletal qMRI techniques are summarized with a focus on techniques developed for osteoarthritis evaluation. Cartilage compositional MRI methods are described with a detailed discussion on relaxometric mapping (T 2 , T 2 *, T 1ρ ) without contrast agents. Methods to assess inflammation are described, including perfusion imaging, volume and signal changes, contrast-enhanced T 1 mapping, and semiquantitative scoring systems. Quantitative characterization of structure and function by bone shape modeling and joint kinematics are described. Muscle evaluation by qMRI is discussed, including size (area, volume), relaxometric mapping (T 1 , T 2 , T 1ρ ), fat fraction quantification, diffusion imaging, and metabolic assessment by 31 P-MR and creatine chemical exchange saturation transfer. Other notable technologies to support qMRI in musculoskeletal evaluation are described, including magnetic resonance fingerprinting, ultrashort echo time imaging, ultrahigh-field MRI, and hybrid MRI-positron emission tomography. Challenges for adopting and using qMRI in musculoskeletal evaluation are discussed, including the need for metal artifact suppression and qMRI standardization.
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Affiliation(s)
- Brendan L. Eck
- Program of Advanced Musculoskeletal Imaging, Cleveland Clinic, Cleveland, OH, USA
- Imaging Instute, Cleveland Clinic, Cleveland, OH, USA
| | - Mingrui Yang
- Program of Advanced Musculoskeletal Imaging, Cleveland Clinic, Cleveland, OH, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - John J. Elias
- Program of Advanced Musculoskeletal Imaging, Cleveland Clinic, Cleveland, OH, USA
- Department of Research, Cleveland Clinic Akron General, Akron, OH, USA
| | - Carl S. Winalski
- Program of Advanced Musculoskeletal Imaging, Cleveland Clinic, Cleveland, OH, USA
- Imaging Instute, Cleveland Clinic, Cleveland, OH, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Faysal Altahawi
- Program of Advanced Musculoskeletal Imaging, Cleveland Clinic, Cleveland, OH, USA
- Imaging Instute, Cleveland Clinic, Cleveland, OH, USA
| | - Naveen Subhas
- Program of Advanced Musculoskeletal Imaging, Cleveland Clinic, Cleveland, OH, USA
- Imaging Instute, Cleveland Clinic, Cleveland, OH, USA
| | - Xiaojuan Li
- Program of Advanced Musculoskeletal Imaging, Cleveland Clinic, Cleveland, OH, USA
- Imaging Instute, Cleveland Clinic, Cleveland, OH, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
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12
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Sprenger-Svačina A, Haensch J, Weiss K, Große Hokamp N, Maintz D, Schlamann M, Fink GR, Schloss N, Laukamp K, Wunderlich G, Lehmann HC, Lichtenstein T. MRI correlates of motoneuron loss in SMA. J Neurol 2023; 270:503-510. [PMID: 36180649 PMCID: PMC9813025 DOI: 10.1007/s00415-022-11326-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 08/04/2022] [Accepted: 08/05/2022] [Indexed: 01/09/2023]
Abstract
BACKGROUND Magnetic resonance imaging (MRI) is currently explored as supplemental tool to monitor disease progression and treatment response in various neuromuscular disorders. We here assessed the utility of a multi-parametric magnetic resonance imaging (MRI) protocol including quantitative water T2 mapping, Dixon-based proton density fat fraction (PDFF) estimation and diffusion tensor imaging (DTI) to detect loss of spinal motor neurons and subsequent muscle damage in adult SMA patients. METHODS Sixteen SMA patients and 13 age-matched controls were enrolled in this prospective, longitudinal study. All participants underwent MRI imaging including measurements of Dixon-based PDFF and DTI of the sciatic nerve. SMA patients furthermore underwent measurements of muscle water T2 (T2w) of the biceps femoris muscle (BFM) and quadriceps femoris muscle (QFM). Ten participants returned for a second scan six months later. MRI parameter were correlated with clinical data. All patients were on nusinersen treatment. RESULTS There were significantly higher intramuscular fat fractions in the BFM and QFM of SMA patients compared to healthy controls at baseline and after 6 months. Furthermore, T2 values significantly correlated positively with intramuscular fat fractions. The Hammersmith functional motor scale significantly correlated with the QFM's intramuscular fat fractions. DTI scans of the sciatic nerve were not significantly different between the two groups. CONCLUSION This study demonstrates that, water T2 mapping and Dixon-based PDFF estimation may distinguish between adult SMA patients and controls, due to massive intramuscular fat accumulation in SMA. More extensive long-term studies are warranted to further evaluate these two modalities as surrogate markers in SMA patients during treatment.
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Affiliation(s)
- Alina Sprenger-Svačina
- Department of Neurology, Medical Faculty and University Hospital of Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Johannes Haensch
- Department of Neurology, Medical Faculty and University Hospital of Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Kilian Weiss
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Philips GmbH Market DACH, Hamburg, Germany
| | - Nils Große Hokamp
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - David Maintz
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Marc Schlamann
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Gereon R Fink
- Department of Neurology, Medical Faculty and University Hospital of Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany.,Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, Juelich, Germany
| | - Natalie Schloss
- Department of Neurology, Medical Faculty and University Hospital of Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Kai Laukamp
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Gilbert Wunderlich
- Department of Neurology, Medical Faculty and University Hospital of Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Helmar C Lehmann
- Department of Neurology, Medical Faculty and University Hospital of Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
| | - Thorsten Lichtenstein
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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13
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Schlaeger S, Weidlich D, Zoffl A, Becherucci EA, Kottmaier E, Montagnese F, Deschauer M, Schoser B, Zimmer C, Baum T, Karampinos DC, Kirschke JS. Beyond mean value analysis - a voxel-based analysis of the quantitative MR biomarker water T 2 in the presence of fatty infiltration in skeletal muscle tissue of patients with neuromuscular diseases. NMR IN BIOMEDICINE 2022; 35:e4805. [PMID: 35892264 DOI: 10.1002/nbm.4805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 07/26/2022] [Accepted: 07/26/2022] [Indexed: 06/15/2023]
Abstract
The main pathologies in the muscles of patients with neuromuscular diseases (NMD) are fatty infiltration and edema. Recently, quantitative magnetic resonance (MR) imaging for determination of the MR biomarkers proton density fat fraction (PDFF) and water T2 (T2w ) has been advanced. Biophysical effects or pathology can have different effects on MR biomarkers. Thus, for heterogeneously affected muscles, the routinely performed mean or median value analyses of MR biomarkers are questionable. Our work presents a voxel-based histogram analysis of PDFF and T2w images to point out potential quantification errors. In 12 patients with NMD, chemical-shift encoding-based water-fat imaging for PDFF and T2 mapping with spectral adiabatic inversion recovery (SPAIR) for T2w determination was performed. Segmentation of nine thigh muscles was performed bilaterally (n = 216). PDFF and T2 maps were coregistered. A voxel-based comparison of PDFF and T2w showed a decreased T2w with increasing PDFF. Mean T2w and mean T2w without fatty voxels (PDFF < 10%) show good agreement, whereas standard deviation (σ) T2w and σ T2w without fatty voxels show increasing difference with increasing values of σ. Thereby two subgroups can be observed, referring to muscles in which the exclusion of fatty voxels has a negligible influence versus muscles in which a strong dependency of the T2w value distribution on the exclusion of fatty voxels is present. Because of the two opposite effects that influence T2w in a voxel, namely, (i) a pathophysiologically increased water mobility leading to T2w elevation, and (ii) a dependency of T2w on the PDFF leading to decreased T2w , the T2w distribution within a muscle might be heterogenous and the routine mean or median analysis can lead to a misinterpretation of the muscle health. It was concluded that muscle T2w mean values can wrongly suggest healthy muscle tissue. A deeper analysis of the underlying value distribution is necessary. Therefore, a quantitative analysis of T2w histograms is a potential alternative.
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Affiliation(s)
- Sarah Schlaeger
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Dominik Weidlich
- Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Agnes Zoffl
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Edoardo Aitala Becherucci
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Elisabeth Kottmaier
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Federica Montagnese
- Department of Neurology, Friedrich-Baur-Institute, LMU Munich, Munich, Germany
| | - Marcus Deschauer
- Department of Neurology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Benedikt Schoser
- Department of Neurology, Friedrich-Baur-Institute, LMU Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Thomas Baum
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Jan S Kirschke
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
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14
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Moore U, Caldas de Almeida Araújo E, Reyngoudt H, Gordish‐Dressman H, Smith FE, Wilson I, James M, Mayhew A, Rufibach L, Day JW, Jones KJ, Bharucha‐Goebel DX, Salort‐Campana E, Pestronk A, Walter MC, Paradas C, Stojkovic T, Mori‐Yoshimura M, Bravver E, Pegoraro E, Mendell JR, Bushby K, Blamire AM, Straub V, Carlier PG, Diaz‐Manera J. Water T2 could predict functional decline in patients with dysferlinopathy. J Cachexia Sarcopenia Muscle 2022; 13:2888-2897. [PMID: 36058852 PMCID: PMC9745487 DOI: 10.1002/jcsm.13063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 05/18/2022] [Accepted: 07/04/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Water T2 (T2H2O ) mapping is increasingly being used in muscular dystrophies to assess active muscle damage. It has been suggested as a surrogate outcome measure for clinical trials. Here, we investigated the prognostic utility of T2H2O to identify changes in muscle function over time in limb girdle muscular dystrophies. METHODS Patients with genetically confirmed dysferlinopathy were assessed as part of the Jain Foundation Clinical Outcomes Study in dysferlinopathy. The cohort included 18 patients from two sites, both equipped with 3-tesla magnetic resonance imaging (MRI) systems from the same vendor. T2H2O value was defined as higher or lower than the median in each muscle bilaterally. The degree of deterioration on four functional tests over 3 years was assessed in a linear model against covariates of high or low T2H2O at baseline, age, disease duration, and baseline function. RESULTS A higher T2H2O at baseline significantly correlated with a greater decline on functional tests in 21 out of 35 muscles and was never associated with slower decline. Higher baseline T2H2O in adductor magnus, vastus intermedius, vastus lateralis, and vastus medialis were the most sensitive, being associated bilaterally with greater decline in multiple timed tests. Patients with a higher than median baseline T2H2O (>40.6 ms) in the right vastus medialis deteriorated 11 points more on the North Star Ambulatory Assessment for Dysferlinopathy and lost an additional 86 m on the 6-min walk than those with a lower T2H2O (<40.6 ms). Optimum sensitivity and specificity thresholds for predicting decline were 39.0 ms in adductor magnus and vastus intermedius, 40.0 ms in vastus medialis, and 40.5 ms in vastus lateralis from different sites equipped with different MRI systems. CONCLUSIONS In dysferlinopathy, T2H2O did not correlate with current functional ability. However, T2H2O at baseline was higher in patients who worsened more rapidly on functional tests. This suggests that inter-patient differences in functional decline over time may be, in part, explained by different severities of the active muscle damage, assessed by T2H2O measure at baseline. Significant challenges remain in standardizing T2H2O values across sites to allow determining globally applicable thresholds. The results from the present work are encouraging and suggest that T2H2O could be used to improve prognostication, patient selection, and disease modelling for clinical trials.
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Affiliation(s)
- Ursula Moore
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research InstituteNewcastle University and Newcastle Hospitals NHS Foundation TrustNewcastle upon TyneUK
| | - Ericky Caldas de Almeida Araújo
- NMR Laboratory, Neuromuscular Investigation CenterInstitute of MyologyParisFrance
- NMR LaboratoryCEA/DRF/IBFJ/MIRCenParisFrance
| | - Harmen Reyngoudt
- NMR Laboratory, Neuromuscular Investigation CenterInstitute of MyologyParisFrance
- NMR LaboratoryCEA/DRF/IBFJ/MIRCenParisFrance
| | - Heather Gordish‐Dressman
- Center for Translational Science, Division of Biostatistics and Study MethodologyChildren's National Health SystemWashingtonDCUSA
- Pediatrics, Epidemiology and BiostatisticsGeorge Washington UniversityWashingtonDCUSA
| | - Fiona E. Smith
- Magnetic Resonance Centre, Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Ian Wilson
- Magnetic Resonance Centre, Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Meredith James
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research InstituteNewcastle University and Newcastle Hospitals NHS Foundation TrustNewcastle upon TyneUK
| | - Anna Mayhew
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research InstituteNewcastle University and Newcastle Hospitals NHS Foundation TrustNewcastle upon TyneUK
| | | | - John W. Day
- Department of Neurology and Neurological SciencesStanford University School of MedicineStanfordCAUSA
| | - Kristi J. Jones
- The Children's Hospital at Westmead and The University of SydneySydneyNSWAustralia
| | - Diana X. Bharucha‐Goebel
- Department of NeurologyChildren's National Health SystemWashingtonDCUSA
- National Institutes of Health (NINDS)BethesdaMDUSA
| | | | - Alan Pestronk
- Department of NeurologyWashington University School of MedicineSt. LouisMOUSA
| | - Maggie C. Walter
- Friedrich‐Baur‐Institute, Department of NeurologyLudwig‐Maximilians‐University of MunichMunichGermany
| | - Carmen Paradas
- Neuromuscular Unit, Department of NeurologyHospital U. Virgen del Rocío/Instituto de Biomedicina de SevillaSevillaSpain
| | - Tanya Stojkovic
- Centre de référence des maladies neuromusculairesInstitut de Myologie, AP‐HP, Sorbonne Université, Hôpital Pitié‐SalpêtrièreParisFrance
| | - Madoka Mori‐Yoshimura
- Department of NeurologyNational Center Hospital, National Center of Neurology and PsychiatryTokyoJapan
| | - Elena Bravver
- Neuroscience InstituteCarolinas Neuromuscular/ALS‐MDA Center, Carolinas HealthCare SystemCharlotteNCUSA
| | - Elena Pegoraro
- Department of NeuroscienceUniversity of PadovaPaduaItaly
| | - Jerry R. Mendell
- The Abigail Wexner Research Institute at Nationwide Children's HospitalColumbusOHUSA
| | | | - Kate Bushby
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research InstituteNewcastle University and Newcastle Hospitals NHS Foundation TrustNewcastle upon TyneUK
| | - Andrew M. Blamire
- Magnetic Resonance Centre, Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Volker Straub
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research InstituteNewcastle University and Newcastle Hospitals NHS Foundation TrustNewcastle upon TyneUK
| | - Pierre G. Carlier
- Université Paris‐Saclay, CEA, DRF, Service Hospitalier Frederic JoliotOrsayFrance
| | - Jordi Diaz‐Manera
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research InstituteNewcastle University and Newcastle Hospitals NHS Foundation TrustNewcastle upon TyneUK
- Neuromuscular Disorders Unit, Neurology DepartmentHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER)MadridSpain
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15
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Veeger TTJ, van de Velde NM, Keene KR, Niks EH, Hooijmans MT, Webb AG, de Groot JH, Kan HE. Baseline fat fraction is a strong predictor of disease progression in Becker muscular dystrophy. NMR IN BIOMEDICINE 2022; 35:e4691. [PMID: 35032073 PMCID: PMC9286612 DOI: 10.1002/nbm.4691] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 12/24/2021] [Accepted: 01/10/2022] [Indexed: 06/14/2023]
Abstract
In Becker muscular dystrophy (BMD), muscle weakness progresses relatively slowly, with a highly variable rate among patients. This complicates clinical trials, as clinically relevant changes are difficult to capture within the typical duration of a trial. Therefore, predictors for disease progression are needed. We assessed if temporal increase of fat fraction (FF) in BMD follows a sigmoidal trajectory and whether fat fraction at baseline (FFbase) could therefore predict FF increase after 2 years (ΔFF). Thereafter, for two different MR-based parameters, we tested the additional predictive value to FFbase. We used 3-T Dixon data from the upper and lower leg, and multiecho spin-echo MRI and 7-T 31 P MRS datasets from the lower leg, acquired in 24 BMD patients (age: 41.4 [SD 12.8] years). We assessed the pattern of increase in FF using mixed-effects modelling. Subsequently, we tested if indicators of muscle damage like standard deviation in water T2 (stdT2 ) and the phosphodiester (PDE) over ATP ratio at baseline had additional value to FFbase for predicting ∆FF. The association between FFbase and ΔFF was described by the derivative of a sigmoid function and resulted in a peak ΔFF around 0.45 FFbase (fourth-order polynomial term: t = 3.7, p < .001). StdT2 and PDE/ATP were not significantly associated with ∆FF if FFbase was included in the model. The relationship between FFbase and ∆FF suggests a sigmoidal trajectory of the increase in FF over time in BMD, similar to that described for Duchenne muscular dystrophy. Our results can be used to identify muscles (or patients) that are in the fast progressing stage of the disease, thereby facilitating the conduct of clinical trials.
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Affiliation(s)
- Thom T. J. Veeger
- C. J. Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical Center (LUMC)LeidenThe Netherlands
| | - Nienke M. van de Velde
- Department of Neurology, Leiden University Medical Center (LUMC)LeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
| | - Kevin R. Keene
- Department of Neurology, Leiden University Medical Center (LUMC)LeidenThe Netherlands
| | - Erik H. Niks
- Department of Neurology, Leiden University Medical Center (LUMC)LeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
| | - Melissa T. Hooijmans
- Department of Radiology & Nuclear MedicineAmsterdam University Medical CentersAmsterdamThe Netherlands
| | - Andrew G. Webb
- C. J. Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical Center (LUMC)LeidenThe Netherlands
| | - Jurriaan H. de Groot
- Department of Rehabilitation Medicine, Leiden University Medical Center (LUMC)LeidenThe Netherlands
| | - Hermien E. Kan
- C. J. Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical Center (LUMC)LeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
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16
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Hooijmans MT, Habets LE, van den Berg‐Faay SAM, Froeling M, Asselman F, Strijkers GJ, Jeneson JAL, Bartels B, Nederveen AJ, van der Pol WL. Multi-parametric quantitative magnetic resonance imaging of the upper arm muscles of patients with spinal muscular atrophy. NMR IN BIOMEDICINE 2022; 35:e4696. [PMID: 35052014 PMCID: PMC9286498 DOI: 10.1002/nbm.4696] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 12/24/2021] [Accepted: 01/17/2022] [Indexed: 06/09/2023]
Abstract
Quantitative magnetic resonance imaging (qMRI) is frequently used to map the disease state and disease progression in the lower extremity muscles of patients with spinal muscular atrophy (SMA). This is in stark contrast to the almost complete lack of data on the upper extremity muscles, which are essential for carrying out daily activities. The aim of this study was therefore to assess the disease state in the upper arm muscles of patients with SMA in comparison with healthy controls by quantitative assessment of fat fraction, diffusion indices, and water T2 relaxation times, and to relate these measures to muscle force. We evaluated 13 patients with SMA and 15 healthy controls with a 3-T MRI protocol consisting of DIXON, diffusion tensor imaging, and T2 sequences. qMRI measures were compared between groups and related to muscle force measured with quantitative myometry. Fat fraction was significantly increased in all upper arm muscles of the patients with SMA compared with healthy controls and correlated negatively with muscle force. Additionally, fat fraction was heterogeneously distributed within the triceps brachii (TB) and brachialis muscle, but not in the biceps brachii muscle. Diffusion indices and water T2 relaxation times were similar between patients with SMA and healthy controls, but we did find a slightly reduced mean diffusivity (MD), λ1, and λ3 in the TB of patients with SMA. Furthermore, MD was positively correlated with muscle force in the TB of patients with SMA. The variation in fat fraction further substantiates the selective vulnerability of muscles. The reduced diffusion tensor imaging indices, along with the positive correlation of MD with muscle force, point to myofiber atrophy. Our results show the feasibility of qMRI to map the disease state in the upper arm muscles of patients with SMA. Longitudinal data in a larger cohort are needed to further explore qMRI to map disease progression and to capture the possible effects of therapeutic interventions.
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Affiliation(s)
- Melissa T. Hooijmans
- Department of Radiology and Nuclear Medicine, Amsterdam Movement SciencesAmsterdam University Medical CenterAmsterdamThe Netherlands
| | - Laura E. Habets
- Center for Child Development, Exercise and Physical Literacy, Wilhelmina Children's HospitalUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Sandra A. M. van den Berg‐Faay
- Department of Radiology and Nuclear Medicine, Amsterdam Movement SciencesAmsterdam University Medical CenterAmsterdamThe Netherlands
| | - Martijn Froeling
- Department of RadiologyUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Fay‐Lynn Asselman
- UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Gustav J. Strijkers
- Department of Biomedical Engineering and Physics, Amsterdam Movement SciencesAmsterdam University Medical CenterAmsterdamThe Netherlands
| | - Jeroen A. L. Jeneson
- Center for Child Development, Exercise and Physical Literacy, Wilhelmina Children's HospitalUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Bart Bartels
- Center for Child Development, Exercise and Physical Literacy, Wilhelmina Children's HospitalUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Aart J. Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam Movement SciencesAmsterdam University Medical CenterAmsterdamThe Netherlands
| | - W. Ludo van der Pol
- UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
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17
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Albayda J, Demonceau G, Carlier PG. Muscle imaging in myositis: MRI, US, and PET. Best Pract Res Clin Rheumatol 2022; 36:101765. [PMID: 35760742 DOI: 10.1016/j.berh.2022.101765] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Imaging is an important tool in the evaluation of idiopathic inflammatory myopathies. It plays a role in diagnosis, assessment of disease activity and follow-up, and as a non-invasive biomarker. Among the different modalities, nuclear magnetic resonance imaging (MRI), ultrasound (US), and positron emission tomography (PET) may have the most clinical utility in myositis. MRI is currently the best modality to evaluate skeletal muscle and provides excellent characterization of muscle edema and fat replacement through the use of T1-weighted and T2-weighted fat suppressed/STIR sequences. Although MRI can be read qualitatively for the presence of abnormalities, a more quantitative approach using Dixon sequences and the generation of water T2 parametric maps would be preferable for follow-up. Newer protocols such as diffusion-weighted imaging, functional imaging measures, and spectroscopy may be of interest to provide further insights into myositis. Despite the advantages of MRI, image acquisition is relatively time-consuming, expensive, and not accessible to all patients. The use of US to evaluate skeletal muscle in myositis is gaining interest, especially in chronic disease, where fat replacement and fibrosis are detected readily by this modality. Although easily deployed at the bedside, it is heavily dependent on operator experience to recognize disease states. Further, systematic characterization of muscle edema by US is still needed. PET provides valuable information on muscle function at a cellular level. Fluorodeoxyglucose (FDG-PET) has been the most common application in myositis to detect pathologic uptake indicative of inflammation. The use of neurodegenerative markers is now also being utilized for inclusion body myositis. These different modalities may prove to be complementary methods for myositis evaluation.
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Affiliation(s)
- Jemima Albayda
- Division of Rheumatology, Johns Hopkins University, Baltimore, USA.
| | | | - Pierre G Carlier
- Université Paris-Saclay, CEA, DRF, Service Hospitalier Frederic Joliot, Orsay, France
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18
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Locher N, Wagner B, Balsiger F, Scheidegger O. Quantitative water T2 relaxometry in the early detection of neuromuscular diseases: a retrospective biopsy-controlled analysis. Eur Radiol 2022; 32:7910-7917. [PMID: 35596779 PMCID: PMC9668929 DOI: 10.1007/s00330-022-08862-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 03/15/2022] [Accepted: 05/01/2022] [Indexed: 01/03/2023]
Abstract
OBJECTIVES To assess quantitative water T2 relaxometry for the early detection of neuromuscular diseases (NMDs) in comparison to standard qualitative MR imaging in a clinical setting. METHODS This retrospective study included 83 patients with suspected NMD who underwent multiparametric MRI at 3 T with a subsequent muscle biopsy between 2015 and 2019. Qualitative T1-weighted and T2-TIRM images were graded by two neuroradiologists to be either pathological or normal. Mean and median water T2 relaxation times (water T2) were obtained from manually drawn volumes of interests in biopsied muscle from multi-echo sequence. Histopathologic pattern of corresponding muscle biopsies was used as a reference. RESULTS In 34 patients, the T1-weighted images showed clear pathological alternations indicating late-stage fatty infiltration in NMDs. In the remaining 49 patients without late-stage changes, T2-TIRM grading achieved a sensitivity of 56.4%, and mean and median water T2 a sensitivity of 87.2% and 97.4% to detect early-stage NMDs. Receiver operating characteristic (ROC) analysis revealed an area under the curve (AUC) of 0.682, 0.715, and 0.803 for T2-TIRM, mean water T2, and median water T2, respectively. Median water T2 ranged between 36 and 42 ms depending on histopathologic pattern. CONCLUSIONS Quantitative water T2 relaxometry had a significantly higher sensitivity in detecting muscle abnormalities than subjective grading of T2-TIRM, prior to late-stage fatty infiltration signal alternations in T1-weighted images. Normal-appearing T2-TIRM does not rule out early-stage NMDs. Our findings suggest considering water T2 relaxometry complementary to T2-TIRM for early detection of NMDs in clinical diagnostic routine. KEY POINTS • Quantitative water T2 relaxometry is more sensitive than subjective assessment of fat-suppressed T2-weighted images for the early detection of neuromuscular diseases, prior to late-stage fatty infiltration signal alternations in T1-weighted images. • Normal-appearing muscles in fat-suppressed T2-weighted images do not rule out early-stage neuromuscular diseases. • Quantitative water T2 relaxometry should be considered complementary to subjectively rated fat-suppressed T2-weighted images in clinical practice.
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Affiliation(s)
- Noah Locher
- Centre for Neuromuscular Diseases, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Benedikt Wagner
- Support Center for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Fabian Balsiger
- Centre for Neuromuscular Diseases, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Support Center for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Olivier Scheidegger
- Centre for Neuromuscular Diseases, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
- Support Center for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
- Universitätsklinik für Neurologie, Inselspital, Freiburgstrasse, CH-3010, Bern, Switzerland.
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19
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Muzic SI, Paoletti M, Solazzo F, Belatti E, Vitale R, Bergsland N, Bastianello S, Pichiecchio A. Reproducibility of manual segmentation in muscle imaging. ACTA MYOLOGICA : MYOPATHIES AND CARDIOMYOPATHIES : OFFICIAL JOURNAL OF THE MEDITERRANEAN SOCIETY OF MYOLOGY 2021; 40:116-123. [PMID: 34632293 PMCID: PMC8489167 DOI: 10.36185/2532-1900-052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 09/12/2021] [Indexed: 11/23/2022]
Abstract
Purpose To assess the reproducibility of a manual muscle MRI segmentation method that follows a specific set of recommendations developed in our center. Materials and methods Nine healthy volunteers underwent a muscle MRI examination that included a TSE T2 sequence of the thighs. Muscle segmentation was performed by three operators: an expert operator (OP1) with 3 years of experience and two radiology residents (OP2 and 3) who were both given basic segmentation instructions, whereas only OP2 underwent additional supervised training from OP1. Intra- and inter-operator Dice similarity coefficient (DSC) was calculated. Results OP1 showed the highest average intra-operator DSC values (0.885), whereas OP2 had higher average DSC (0.856) compared to OP3 (0.818). The highest inter-operator agreement was observed between Operators 1 and 2 (0.814) and the lowest between OP2 and OP3 (0.702). Confidence interval (CI) analysis showed that the most experienced operator also had the least variability in drawing the ROIs, whereas OP2 showed both higher intra-operator reproducibility compared to OP3 and higher inter-operator agreement with OP1. The muscles that showed the least reproducibility were the semimembranosus and the short head of the biceps femoris. Discussion Following specific recommendations such as these ones derived from our single-center experience leads to an overall high reproducibility of manual muscle segmentation and is helpful in improving both intra-operator and inter-operator reproducibility in less experienced operators.
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Affiliation(s)
| | - Matteo Paoletti
- Department of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy
| | | | | | | | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.,Don Carlo Gnocchi ONLUS Foundation IRCCS, Milan, Italy
| | - Stefano Bastianello
- University of Pavia, Pavia, Italy.,Department of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy
| | - Anna Pichiecchio
- University of Pavia, Pavia, Italy.,Department of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy
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20
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Ran J, Yin C, Liu C, Li Y, Hou B, Morelli JN, Dai B, Li X. The Diagnostic Value of MR IVIM and T2 Mapping in Differentiating Autoimmune Myositis From Muscular Dystrophy. Acad Radiol 2021; 28:e182-e188. [PMID: 32417032 DOI: 10.1016/j.acra.2020.04.022] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 04/11/2020] [Accepted: 04/12/2020] [Indexed: 01/15/2023]
Abstract
RATIONALE AND OBJECTIVES To confirm the feasibility and compare the accuracy of magnetic resonance imaging intravoxel incoherent motion (IVIM) and T2 mapping models for the differentiation of autoimmune myositis from muscular dystrophy. MATERIALS AND METHODS Fourty-two autoimmune myositis and 11 muscular dystrophy patients proven by diagnostic criteria were enrolled in the study. Conventional MR sequences, IVIM, and T2 mapping through the bilateral thighs were obtained as well as blood samples for all patients. IVIM and T2 mapping parameters as well as serum markers were compared between the autoimmune myositis and muscular dystrophy groups. Mann-Whitney U tests were performed for statistical analysis along with receiver operating characteristic curves. Spearman correlation coefficient models were constructed to analyze the correlation between IVIM and T2 mapping with serological parameters. RESULTS The intramuscular apparent diffusion coefficient, tissue diffusivity (D), perfusion fraction (fp), and T2 relaxation time values were statistically significantly different between the autoimmune myositis and muscular dystrophy groups (p < 0.05). Pseudo diffusivity (Dp) values showed no statistical difference between the groups (p > 0.05). D parameter of IVIM sequences differentiated autoimmune and muscular dystrophy with a higher specificity of 75.60%. T2 values within the thighs were correlated with serum creatine kinase and lactate dehydrogenase levels (p < 0.05). CONCLUSION Thigh muscle IVIM and T2 mapping parameters are useful in differentiating autoimmune myositis from muscular dystrophy, particularly the IVIM parameters.
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Affiliation(s)
- Jun Ran
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095, Jiefang Road, Wuhan 430030, Hubei Province, People's Republic of China
| | - Cuilin Yin
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095, Jiefang Road, Wuhan 430030, Hubei Province, People's Republic of China
| | - Chanyuan Liu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095, Jiefang Road, Wuhan 430030, Hubei Province, People's Republic of China
| | - Yitong Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095, Jiefang Road, Wuhan 430030, Hubei Province, People's Republic of China
| | - Bowen Hou
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095, Jiefang Road, Wuhan 430030, Hubei Province, People's Republic of China
| | - John N Morelli
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Bin Dai
- Department of General Surgery, General Hospital of the Central Theater Command of the People's Liberation Army, Wuhan, People's Republic of China
| | - Xiaoming Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095, Jiefang Road, Wuhan 430030, Hubei Province, People's Republic of China.
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21
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Naarding KJ, Keene KR, Sardjoe Mishre ASD, Veeger TTJ, van de Velde NM, Prins AJ, Burakiewicz J, Verschuuren JJGM, van der Holst M, Niks EH, Kan HE. Preserved thenar muscles in non-ambulant Duchenne muscular dystrophy patients. J Cachexia Sarcopenia Muscle 2021; 12:694-703. [PMID: 33963807 PMCID: PMC8200430 DOI: 10.1002/jcsm.12711] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 02/10/2021] [Accepted: 03/29/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Clinical trials in Duchenne muscular dystrophy (DMD) focus primarily on ambulant patients. Results cannot be extrapolated to later disease stages due to a decline in targeted muscle tissue. In non-ambulant DMD patients, hand function is relatively preserved and crucial for daily-life activities. We used quantitative MRI (qMRI) to establish whether the thenar muscles could be valuable to monitor treatment effects in non-ambulant DMD patients. METHODS Seventeen non-ambulant DMD patients (range 10.2-24.1 years) and 13 healthy controls (range 9.5-25.4 years) underwent qMRI of the right hand at 3 T at baseline. Thenar fat fraction (FF), total volume (TV), and contractile volume (CV) were determined using 4-point Dixon, and T2water was determined using multiecho spin-echo. Clinical assessments at baseline (n = 17) and 12 months (n = 13) included pinch strength (kg), performance of the upper limb (PUL) 2.0, DMD upper limb patient reported outcome measure (PROM), and playing a video game for 10 min using a game controller. Group differences and correlations were assessed with non-parametric tests. RESULTS Total volume was lower in patients compared with healthy controls (6.9 cm3 , 5.3-9.0 cm3 vs. 13.0 cm3 , 7.6-15.8 cm3 , P = 0.010). CV was also lower in patients (6.3 cm3 , 4.6-8.3 cm3 vs. 11.9 cm3 , 6.9-14.6 cm3 , P = 0.010). FF was slightly elevated (9.7%, 7.3-11.4% vs. 7.7%, 6.6-8.4%, P = 0.043), while T2water was higher (31.5 ms, 30.0-32.6 ms vs. 28.1 ms, 27.8-29.4 ms, P < 0.001). Pinch strength and PUL decreased over 12 months (2.857 kg, 2.137-4.010 to 2.243 kg, 1.930-3.339 kg, and 29 points, 20-36 to 23 points, 17-30, both P < 0.001), while PROM did not (49 points, 36-57 to 44 points, 30-54, P = 0.041). All patients were able to play for 10 min at baseline or follow-up, but some did not comply with the study procedures regarding this endpoint. Pinch strength correlated with TV and CV in patients (rho = 0.72 and rho = 0.68) and controls (both rho = 0.89). PUL correlated with TV, CV, and T2water (rho = 0.57, rho = 0.51, and rho = -0.59). CONCLUSIONS Low thenar FF, increased T2water , correlation of muscle size with strength and function, and the decrease in strength and function over 1 year indicate that the thenar muscles are a valuable and quantifiable target for therapy in later stages of DMD. Further studies are needed to relate these data to the loss of a clinically meaningful milestone.
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Affiliation(s)
- Karin J Naarding
- Department of Neurology, Leiden University Medical Center (LUMC), Leiden, Netherlands.,Duchenne Center, Leiden, Netherlands
| | - Kevin R Keene
- Department of Neurology, Leiden University Medical Center (LUMC), Leiden, Netherlands.,C.J. Gorter Center for High Field MRI, Department of Radiology, LUMC, Leiden, Netherlands
| | | | - Thom T J Veeger
- C.J. Gorter Center for High Field MRI, Department of Radiology, LUMC, Leiden, Netherlands
| | - Nienke M van de Velde
- Department of Neurology, Leiden University Medical Center (LUMC), Leiden, Netherlands.,Duchenne Center, Leiden, Netherlands
| | - Arina J Prins
- Department of Neurology, Leiden University Medical Center (LUMC), Leiden, Netherlands.,Duchenne Center, Leiden, Netherlands
| | - Jedrzej Burakiewicz
- C.J. Gorter Center for High Field MRI, Department of Radiology, LUMC, Leiden, Netherlands
| | - Jan J G M Verschuuren
- Department of Neurology, Leiden University Medical Center (LUMC), Leiden, Netherlands.,Duchenne Center, Leiden, Netherlands
| | - Menno van der Holst
- Duchenne Center, Leiden, Netherlands.,Department of Orthopedics, Rehabilitation and Physiotherapy, Leiden University Medical Center, Leiden, Netherlands
| | - Erik H Niks
- Department of Neurology, Leiden University Medical Center (LUMC), Leiden, Netherlands.,Duchenne Center, Leiden, Netherlands
| | - Hermien E Kan
- Duchenne Center, Leiden, Netherlands.,C.J. Gorter Center for High Field MRI, Department of Radiology, LUMC, Leiden, Netherlands
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22
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Güttsches AK, Rehmann R, Schreiner A, Rohm M, Forsting J, Froeling M, Tegenthoff M, Vorgerd M, Schlaffke L. Quantitative Muscle-MRI Correlates with Histopathology in Skeletal Muscle Biopsies. J Neuromuscul Dis 2021; 8:669-678. [PMID: 33814461 DOI: 10.3233/jnd-210641] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Skeletal muscle biopsy is one of the gold standards in the diagnostic workup of muscle disorders. By histopathologic analysis, characteristic features like inflammatory cellular infiltrations, fat and collagen replacement of muscle tissue or structural defects of the myofibers can be detected. In the past years, novel quantitative MRI (qMRI) techniques have been developed to quantify tissue parameters, thus providing a non-invasive diagnostic tool in several myopathies. OBJECTIVE This proof-of-principle study was performed to validate the qMRI-techniques to skeletal muscle biopsy results. METHODS Ten patients who underwent skeletal muscle biopsy for diagnostic purposes were examined by qMRI. Fat fraction, water T2-time and diffusion parameters were measured in the muscle from which the biopsy was taken. The proportion of fat tissue, the severity of degenerative and inflammatory parameters and the amount of type 1- and type 2- muscle fibers were determined in all biopsy samples. The qMRI-data were then correlated to the histopathological findings. RESULTS The amount of fat tissue in skeletal muscle biopsy correlated significantly with the fat fraction derived from the Dixon sequence. The water T2-time, a parameter for tissue edema, correlated with the amount of vacuolar changes of myofibers and endomysial macrophages in the histopathologic analysis. No significant correlations were found for diffusion parameters. CONCLUSION In this proof-of-principle study, qMRI techniques were related to characteristic histopathologic features in neuromuscular disorders. The study provides the basis for further development of qMRI methods in the follow-up of patients with neuromuscular disorders, especially in the context of emerging treatment strategies.
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Affiliation(s)
- Anne-Katrin Güttsches
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Robert Rehmann
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Anja Schreiner
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Marlena Rohm
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Johannes Forsting
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Martijn Froeling
- Department of Radiology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Martin Tegenthoff
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Matthias Vorgerd
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Lara Schlaffke
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
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23
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Santini F, Deligianni X, Paoletti M, Solazzo F, Weigel M, de Sousa PL, Bieri O, Monforte M, Ricci E, Tasca G, Pichiecchio A, Bergsland N. Fast Open-Source Toolkit for Water T2 Mapping in the Presence of Fat From Multi-Echo Spin-Echo Acquisitions for Muscle MRI. Front Neurol 2021; 12:630387. [PMID: 33716931 PMCID: PMC7952742 DOI: 10.3389/fneur.2021.630387] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 02/05/2021] [Indexed: 11/13/2022] Open
Abstract
Imaging has become a valuable tool in the assessment of neuromuscular diseases, and, specifically, quantitative MR imaging provides robust biomarkers for the monitoring of disease progression. Quantitative evaluation of fat infiltration and quantification of the T2 values of the muscular tissue's water component (wT2) are two of the most essential indicators currently used. As each voxel of the image can contain both water and fat, a two-component model for the estimation of wT2 must be used. In this work, we present a fast method for reconstructing wT2 maps obtained from conventional multi-echo spin-echo (MESE) acquisitions and released as Free Open Source Software. The proposed software is capable of fast reconstruction thanks to extended phase graphs (EPG) simulations and dictionary matching implemented on a general-purpose graphic processing unit. The program can also perform more conventional biexponential least-squares fitting of the data and incorporate information from an external water-fat acquisition to increase the accuracy of the results. The method was applied to the scans of four healthy volunteers and five subjects suffering from facioscapulohumeral muscular dystrophy (FSHD). Conventional multi-slice MESE acquisitions were performed with 17 echoes, and additionally, a 6-echo multi-echo gradient-echo (MEGE) sequence was used for an independent fat fraction calculation. The proposed reconstruction software was applied on the full datasets, and additionally to reduced number of echoes, respectively, to 8, 5, and 3, using EPG and biexponential least-squares fitting, with and without incorporating information from the MEGE acquisition. The incorporation of external fat fraction maps increased the robustness of the fitting with a reduced number of echoes per datasets, whereas with unconstrained fitting, the total of 17 echoes was necessary to retain an independence of wT2 from the level of fat infiltration. In conclusion, the proposed software can successfully be used to calculate wT2 maps from conventional MESE acquisition, allowing the usage of an optimized protocol with similar precision and accuracy as a 17-echo acquisition. As it is freely released to the community, it can be used as a reference for more extensive cohort studies.
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Affiliation(s)
- Francesco Santini
- Division of Radiological Physics, Department of Radiology, University Hospital of Basel, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Xeni Deligianni
- Division of Radiological Physics, Department of Radiology, University Hospital of Basel, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Matteo Paoletti
- Advanced Imaging and Radiomics Center, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy
| | - Francesca Solazzo
- Advanced Imaging and Radiomics Center, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy
| | - Matthias Weigel
- Division of Radiological Physics, Department of Radiology, University Hospital of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Allschwil, Switzerland.,Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Paulo Loureiro de Sousa
- ICube, Université de Strasbourg, Centre National de la Recherche Scientifique (CNRS), Strasbourg, France
| | - Oliver Bieri
- Division of Radiological Physics, Department of Radiology, University Hospital of Basel, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Mauro Monforte
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Enzo Ricci
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.,Dipartimento di Neuroscienze, Istituto di Neurologia, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giorgio Tasca
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Anna Pichiecchio
- Advanced Imaging and Radiomics Center, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Niels Bergsland
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States.,Fondazione Don Carlo Gnocchi Onlus (IRCCS), Milan, Italy
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24
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Keene KR, van Vught L, van de Velde NM, Ciggaar IA, Notting IC, Genders SW, Verschuuren JJ, Tannemaat MR, Kan HE, Beenakker JM. The feasibility of quantitative MRI of extra-ocular muscles in myasthenia gravis and Graves' orbitopathy. NMR IN BIOMEDICINE 2021; 34:e4407. [PMID: 32893386 PMCID: PMC7757175 DOI: 10.1002/nbm.4407] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 08/20/2020] [Accepted: 08/20/2020] [Indexed: 05/02/2023]
Abstract
Although quantitative MRI can be instrumental in the diagnosis and assessment of disease progression in orbital diseases involving the extra-ocular muscles (EOM), acquisition can be challenging as EOM are small and prone to eye-motion artefacts. We explored the feasibility of assessing fat fractions (FF), muscle volumes and water T2 (T2water ) of EOM in healthy controls (HC), myasthenia gravis (MG) and Graves' orbitopathy (GO) patients. FF, EOM volumes and T2water values were determined in 12 HC (aged 22-65 years), 11 MG (aged 28-71 years) and six GO (aged 28-64 years) patients at 7 T using Dixon and multi-echo spin-echo sequences. The EOM were semi-automatically 3D-segmented by two independent observers. MANOVA and t-tests were used to assess differences in FF, T2water and volume of EOM between groups (P < .05). Bland-Altman limits of agreement (LoA) were used to assess the reproducibility of segmentations and Dixon scans. The scans were well tolerated by all subjects. The bias in FF between the repeated Dixon scans was -0.7% (LoA: ±2.1%) for the different observers; the bias in FF was -0.3% (LoA: ±2.8%) and 0.03 cm3 (LoA: ± 0.36 cm3 ) for volume. Mean FF of EOM in MG (14.1% ± 1.6%) was higher than in HC (10.4% ± 2.5%). Mean muscle volume was higher in both GO (1.2 ± 0.4 cm3 ) and MG (0.8 ± 0.2 cm3 ) compared with HC (0.6 ± 0.2 cm3 ). The average T2water for all EOM was 24.6 ± 4.0 ms for HC, 24.0 ± 4.7 ms for MG patients and 27.4 ± 4.2 ms for the GO patient. Quantitative MRI at 7 T is feasible for measuring FF and muscle volumes of EOM in HC, MG and GO patients. The measured T2water was on average comparable with skeletal muscle, although with higher variation between subjects. The increased FF in the EOM in MG patients suggests that EOM involvement in MG is accompanied by fat replacement. The unexpected EOM volume increase in MG may provide novel insights into underlying pathophysiological processes.
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Affiliation(s)
- Kevin R. Keene
- CJ Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Department of NeurologyLeiden University Medical CenterLeidenthe Netherlands
| | - Luc van Vught
- CJ Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Department of OphthalmologyLeiden University Medical CenterLeidenthe Netherlands
| | | | - Isabeau A. Ciggaar
- CJ Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Department of OphthalmologyLeiden University Medical CenterLeidenthe Netherlands
| | - Irene C. Notting
- Department of OphthalmologyLeiden University Medical CenterLeidenthe Netherlands
| | - Stijn W. Genders
- Department of OphthalmologyLeiden University Medical CenterLeidenthe Netherlands
| | - Jan J.G.M. Verschuuren
- Department of NeurologyLeiden University Medical CenterLeidenthe Netherlands
- Duchenne Centerthe Netherlands
| | | | - Hermien E. Kan
- CJ Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Duchenne Centerthe Netherlands
| | - Jan‐Willem M. Beenakker
- CJ Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Department of OphthalmologyLeiden University Medical CenterLeidenthe Netherlands
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25
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Hooijmans MT, Froeling M, Koeks Z, Verschuuren JJ, Webb A, Niks EH, Kan HE. Multi-parametric MR in Becker muscular dystrophy patients. NMR IN BIOMEDICINE 2020; 33:e4385. [PMID: 32754921 PMCID: PMC7687231 DOI: 10.1002/nbm.4385] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Revised: 07/09/2020] [Accepted: 07/13/2020] [Indexed: 05/14/2023]
Abstract
Quantitative MRI and MRS of muscle are increasingly being used to measure individual pathophysiological processes in Becker muscular dystrophy (BMD). In particular, muscle fat fraction was shown to be highly associated with functional tests in BMD. However, the muscle strength per unit of contractile cross-sectional area is lower in patients with BMD compared with healthy controls. This suggests that the quality of the non-fat-replaced (NFR) muscle tissue is lower than in healthy controls. Consequently, a measure that reflects changes in muscle tissue itself is needed. Here, we explore the potential of water T2 relaxation times, diffusion parameters and phosphorus metabolic indices as early disease markers in patients with BMD. For this purpose, we examined these measures in fat-replaced (FR) and NFR lower leg muscles in patients with BMD and compared these values with those in healthy controls. Quantitative proton MRI (three-point Dixon, multi-spin-echo and diffusion-weighted spin-echo echo planar imaging) and 2D chemical shift imaging 31 P MRS data were acquired in 24 patients with BMD (age 18.8-66.2 years) and 13 healthy controls (age 21.3-63.6 years). Muscle fat fractions, phosphorus metabolic indices, and averages and standard deviations (SDs) of the water T2 relaxation times and diffusion tensor imaging (DTI) parameters were assessed in six individual leg muscles. Phosphodiester levels were increased in the NFR and FR tibialis anterior, FR peroneus and FR gastrocnemius lateralis muscles. No clear pattern was visible for the other metabolic indices. Increased T2 SD was found in the majority of FR muscles compared with NFR and healthy control muscles. No differences in average water T2 relaxation times or DTI indices were found between groups. Overall, our results indicate that primarily muscles that are further along in the disease process showed increases in T2 heterogeneity and changes in some metabolic indices. No clear differences were found for the DTI indices between groups.
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Affiliation(s)
- Melissa T. Hooijmans
- C.J. Gorter Center, Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
- Department of Biomedical Engineering & PhysicsAmsterdam University Medical CentersAmsterdamThe Netherlands
| | - Martijn Froeling
- Department of RadiologyUtrecht University Medical CenterUtrechtThe Netherlands
| | - Zaida Koeks
- Department of NeurologyLeiden University Medical CenterLeidenThe Netherlands
| | - Jan J.G.M. Verschuuren
- Department of NeurologyLeiden University Medical CenterLeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
| | - Andrew Webb
- C.J. Gorter Center, Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
| | - Erik H. Niks
- Department of NeurologyLeiden University Medical CenterLeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
| | - Hermien E. Kan
- C.J. Gorter Center, Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
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26
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Otto LA, van der Pol W, Schlaffke L, Wijngaarde CA, Stam M, Wadman RI, Cuppen I, van Eijk RP, Asselman F, Bartels B, van der Woude D, Hendrikse J, Froeling M. Quantitative MRI of skeletal muscle in a cross-sectional cohort of patients with spinal muscular atrophy types 2 and 3. NMR IN BIOMEDICINE 2020; 33:e4357. [PMID: 32681555 PMCID: PMC7507182 DOI: 10.1002/nbm.4357] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 03/24/2020] [Accepted: 06/03/2020] [Indexed: 05/06/2023]
Abstract
The aim of this study was to document upper leg involvement in spinal muscular atrophy (SMA) with quantitative MRI (qMRI) in a cross-sectional cohort of patients of varying type, disease severity and age. Thirty-one patients with SMA types 2 and 3 (aged 29.6 [7.6-73.9] years) and 20 healthy controls (aged 37.9 [17.7-71.6] years) were evaluated in a 3 T MRI with a protocol consisting of DIXON, T2 mapping and diffusion tensor imaging (DTI). qMRI measures were compared with clinical scores of motor function (Hammersmith Functional Motor Scale Expanded [HFMSE]) and muscle strength. Patients exhibited an increased fat fraction and fractional anisotropy (FA), and decreased mean diffusivity (MD) and T2 compared with controls (all P < .001). DTI parameters FA and MD manifest stronger effects than can be accounted for the effect of fatty replacement. Fat fraction, FA and MD show moderate correlation with muscle strength and motor function: FA is negatively associated with HFMSE and Medical Research Council sum score (τ = -0.56 and -0.59; both P < .001) whereas for fat fraction values are τ = -0.50 and -0.58, respectively (both P < .001). This study shows that DTI parameters correlate with muscle strength and motor function. DTI findings indirectly indicate cell atrophy and act as a measure independently of fat fraction. Combined these data suggest the potential of muscle DTI in monitoring disease progression and to study SMA pathogenesis in muscle.
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Affiliation(s)
- Louise A.M. Otto
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht Universitythe Netherlands
| | - W‐Ludo van der Pol
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht Universitythe Netherlands
| | - Lara Schlaffke
- Department of NeurologyBG‐University Hospital Bergmannsheil, Ruhr‐University BochumBochumGermany
| | - Camiel A. Wijngaarde
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht Universitythe Netherlands
| | - Marloes Stam
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht Universitythe Netherlands
| | - Renske I. Wadman
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht Universitythe Netherlands
| | - Inge Cuppen
- Department of Neurology and Child Neurology, UMC Utrecht Brain CenterUniversity Medical Center Utrecht, Utrecht Universitythe Netherlands
| | - Ruben P.A. van Eijk
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht Universitythe Netherlands
- Biostatistics & Research Support, Julius Center for Health Sciences and Primary CareUniversity Medical Center Utrecht, Utrecht UniversityUtrechtThe Netherlands
| | - Fay‐Lynn Asselman
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht Universitythe Netherlands
| | - Bart Bartels
- Department of Child Development and Exercise CenterUniversity Medical Center Utrecht, Utrecht Universitythe Netherlands
| | - Danny van der Woude
- Department of Child Development and Exercise CenterUniversity Medical Center Utrecht, Utrecht Universitythe Netherlands
| | - Jeroen Hendrikse
- Department of RadiologyUniversity Medical Center Utrecht, Utrecht Universitythe Netherlands
| | - Martijn Froeling
- Department of RadiologyUniversity Medical Center Utrecht, Utrecht Universitythe Netherlands
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27
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Senesac CR, Barnard AM, Lott DJ, Nair KS, Harrington AT, Willcocks RJ, Zilke KL, Rooney WD, Walter GA, Vandenborne K. Magnetic Resonance Imaging Studies in Duchenne Muscular Dystrophy: Linking Findings to the Physical Therapy Clinic. Phys Ther 2020; 100:2035-2048. [PMID: 32737968 PMCID: PMC7596892 DOI: 10.1093/ptj/pzaa140] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/30/2020] [Indexed: 12/31/2022]
Abstract
Duchenne muscular dystrophy (DMD) is a muscle degenerative disorder that manifests in early childhood and results in progressive muscle weakness. Physical therapists have long been an important component of the multidisciplinary team caring for people with DMD, providing expertise in areas of disease assessment, contracture management, assistive device prescription, and exercise prescription. Over the last decade, magnetic resonance imaging of muscles in people with DMD has led to an improved understanding of the muscle pathology underlying the clinical manifestations of DMD. Findings from magnetic resonance imaging (MRI) studies in DMD, paired with the clinical expertise of physical therapists, can help guide research that leads to improved physical therapist care for this unique patient population. The 2 main goals of this perspective article are to (1) summarize muscle pathology and disease progression findings from qualitative and quantitative muscle MRI studies in DMD and (2) link MRI findings of muscle pathology to the clinical manifestations observed by physical therapists with discussion of any potential implications of MRI findings on physical therapy management.
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Affiliation(s)
| | | | | | - Kavya S Nair
- Department of Physical Therapy, University of Florida
| | - Ann T Harrington
- Center for Rehabilitation, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania; and Department of Physical Therapy, Arcadia University, Glenside, Pennsylvania
| | | | - Kirsten L Zilke
- Oregon Health & Science University, Shriners Hospitals for Children, Portland, Oregon
| | - William D Rooney
- Advanced Imaging Research Center, Oregon Health & Science University
| | - Glenn A Walter
- Department of Physiology and Functional Genomics, University of Florida
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28
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Keene KR, Beenakker JWM, Hooijmans MT, Naarding KJ, Niks EH, Otto LAM, van der Pol WL, Tannemaat MR, Kan HE, Froeling M. T 2 relaxation-time mapping in healthy and diseased skeletal muscle using extended phase graph algorithms. Magn Reson Med 2020; 84:2656-2670. [PMID: 32306450 PMCID: PMC7496817 DOI: 10.1002/mrm.28290] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 03/06/2020] [Accepted: 03/31/2020] [Indexed: 02/06/2023]
Abstract
PURPOSE Multi-echo spin-echo (MSE) transverse relaxometry mapping using multi-component models is used to study disease activity in neuromuscular disease by assessing the T2 of the myocytic component (T2water ). Current extended phase graph algorithms are not optimized for fat fractions above 50% and the effects of inaccuracies in the T2fat calibration remain unexplored. Hence, we aimed to improve the performance of extended phase graph fitting methods over a large range of fat fractions, by including the slice-selection flip angle profile, a through-plane chemical-shift displacement correction, and optimized calibration of T2fat . METHODS Simulation experiments were used to study the influence of the slice flip-angle profile with chemical-shift and T2fat estimations. Next, in vivo data from four neuromuscular disease cohorts were studied for different T2fat calibration methods and T2water estimations. RESULTS Excluding slice flip-angle profiles or chemical-shift displacement resulted in a bias in T2water up to 10 ms. Furthermore, a wrongly calibrated T2fat caused a bias of up to 4 ms in T2water . For the in vivo data, one-component calibration led to a lower T2fat compared with a two-component method, and T2water decreased with increasing fat fractions. CONCLUSION In vivo data showed a decline in T2water for increasing fat fractions, which has important implications for clinical studies, especially in multicenter settings. We recommend using an extended phase graph-based model for fitting T2water from MSE sequences with two-component T2fat calibration. Moreover, we recommend including the slice flip-angle profile in the model with correction for through-plane chemical-shift displacements.
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Affiliation(s)
- Kevin R Keene
- C.J. Gorter center for high field MRI, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Jan-Willem M Beenakker
- C.J. Gorter center for high field MRI, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Ophthalmology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Karin J Naarding
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.,Duchenne Center Netherlands, the Netherlands
| | - Erik H Niks
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.,Duchenne Center Netherlands, the Netherlands
| | - Louise A M Otto
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - W Ludo van der Pol
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Martijn R Tannemaat
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Hermien E Kan
- C.J. Gorter center for high field MRI, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.,Duchenne Center Netherlands, the Netherlands
| | - Martijn Froeling
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
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29
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Maggi L, Moscatelli M, Frangiamore R, Mazzi F, Verri M, De Luca A, Pasanisi MB, Baranello G, Tramacere I, Chiapparini L, Bruzzone MG, Mantegazza R, Aquino D. Quantitative Muscle MRI Protocol as Possible Biomarker in Becker Muscular Dystrophy. Clin Neuroradiol 2020; 31:257-266. [PMID: 31974637 DOI: 10.1007/s00062-019-00875-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 12/30/2019] [Indexed: 12/16/2022]
Abstract
PURPOSE Aim of this study is to compare Quantitative Magnetic Resonance Imaging (qMRI) measures between Becker Muscular Dystrophy (BMD) and Healthy Subjects (HS) and to correlate these parameters with clinical scores. METHODS Ten BMD patients (mean age ±standard deviation: 38.7 ± 15.0 years) and ten age-matched HS, were investigated through magnetic resonance imaging (MRI) at thigh and calf levels, including: 1) a standard axial T1-weighted sequence; 2) a volumetric T2-weighted sequence; 3) a multiecho spin-echo sequence; 4) a 2-point Dixon sequence; 5) a Diffusion Tensor Imaging (DTI) sequence. RESULTS Mean Fat Fraction (FF), T2-relaxation time and Fractional Anisotropy (FA) DTI at thigh and calf levels were significantly higher in BMD patients than in HS (p-values < 0.01). FF at thigh and calf levels significantly correlated with North Star Ambulatory Assessment (NSAA) score (p-values < 0.01) and6 Minutes Walking Test (6MWT) (p-values < 0.01), whereas only calf muscle FF was significantly associated with time to get up from floor (p-value = 0.01). T2 significantly correlated with NSAA score (p-value < 0.01), 6MWT (p-value = 0.02) and time to get up from floor (p-value < 0.01) only at calf level. Among DTI values, only FA in thigh and calf muscles significantly correlated with NSAA score, 6MWT and 10-m walk (all p-values < 0.05); only FA in calf muscles significantly correlated with time to get up from floor (p = 0.01). CONCLUSIONS Muscle FF, T2-relaxometry and DTI, seem to be a promising biomarker to assess BMD disease severity, although further studies are needed to evaluate changes over the time.
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Affiliation(s)
- Lorenzo Maggi
- Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. .,Neurology IV-Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico "Carlo Besta", Via Celoria 11, 20133, Milan, Italy.
| | - Marco Moscatelli
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Rita Frangiamore
- Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Federica Mazzi
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Mattia Verri
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Alberto De Luca
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Maria Barbara Pasanisi
- Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Giovanni Baranello
- Developmental Neurology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Irene Tramacere
- Department of Research and Clinical Development, Scientific Directorate, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Luisa Chiapparini
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Maria Grazia Bruzzone
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Renato Mantegazza
- Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Domenico Aquino
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
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30
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Strijkers GJ, Araujo EC, Azzabou N, Bendahan D, Blamire A, Burakiewicz J, Carlier PG, Damon B, Deligianni X, Froeling M, Heerschap A, Hollingsworth KG, Hooijmans MT, Karampinos DC, Loudos G, Madelin G, Marty B, Nagel AM, Nederveen AJ, Nelissen JL, Santini F, Scheidegger O, Schick F, Sinclair C, Sinkus R, de Sousa PL, Straub V, Walter G, Kan HE. Exploration of New Contrasts, Targets, and MR Imaging and Spectroscopy Techniques for Neuromuscular Disease - A Workshop Report of Working Group 3 of the Biomedicine and Molecular Biosciences COST Action BM1304 MYO-MRI. J Neuromuscul Dis 2020; 6:1-30. [PMID: 30714967 PMCID: PMC6398566 DOI: 10.3233/jnd-180333] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Neuromuscular diseases are characterized by progressive muscle degeneration and muscle weakness resulting in functional disabilities. While each of these diseases is individually rare, they are common as a group, and a large majority lacks effective treatment with fully market approved drugs. Magnetic resonance imaging and spectroscopy techniques (MRI and MRS) are showing increasing promise as an outcome measure in clinical trials for these diseases. In 2013, the European Union funded the COST (co-operation in science and technology) action BM1304 called MYO-MRI (www.myo-mri.eu), with the overall aim to advance novel MRI and MRS techniques for both diagnosis and quantitative monitoring of neuromuscular diseases through sharing of expertise and data, joint development of protocols, opportunities for young researchers and creation of an online atlas of muscle MRI and MRS. In this report, the topics that were discussed in the framework of working group 3, which had the objective to: Explore new contrasts, new targets and new imaging techniques for NMD are described. The report is written by the scientists who attended the meetings and presented their data. An overview is given on the different contrasts that MRI can generate and their application, clinical needs and desired readouts, and emerging methods.
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Affiliation(s)
| | - Ericky C.A. Araujo
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Noura Azzabou
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | | | - Andrew Blamire
- Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK
| | - Jedrek Burakiewicz
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Pierre G. Carlier
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Bruce Damon
- Vanderbilt University Medical Center, Nashville, USA
| | - Xeni Deligianni
- Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland & Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | | | - Arend Heerschap
- Radboud University Medical Center, Nijmegen, the Netherlands
| | | | | | | | | | | | - Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Armin M. Nagel
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany & Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | | | - Francesco Santini
- Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland & Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Olivier Scheidegger
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Fritz Schick
- University of Tübingen, Section on Experimental Radiology, Tübingen, Germany
| | | | | | | | - Volker Straub
- Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK
| | | | - Hermien E. Kan
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
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31
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Schlaeger S, Weidlich D, Klupp E, Montagnese F, Deschauer M, Schoser B, Bublitz S, Ruschke S, Zimmer C, Rummeny EJ, Kirschke JS, Karampinos DC. Water T 2 Mapping in Fatty Infiltrated Thigh Muscles of Patients With Neuromuscular Diseases Using a T 2 -Prepared 3D Turbo Spin Echo With SPAIR. J Magn Reson Imaging 2019; 51:1727-1736. [PMID: 31875343 DOI: 10.1002/jmri.27032] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Revised: 12/03/2019] [Accepted: 12/05/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Muscle water T2 (T2w ) has been proposed as a biomarker to monitor disease activity and therapy effectiveness in patients with neuromuscular diseases (NMD). Multi-echo spin-echo (MESE) is known to be affected by fatty infiltration. A T2 -prepared 3D turbo spin echo (TSE) is an alternative method for T2 mapping, but has been only applied in healthy muscles. PURPOSE To examine the performance of T2 -prepared 3D TSE in combination with spectral adiabatic inversion recovery (SPAIR) in measuring T2w in fatty infiltrated muscles based on simulations and in vivo measurements in thigh muscles of patients with NMD. STUDY TYPE Prospective. SUBJECTS One healthy volunteer, 34 NMD patients. FIELD STRENGTH/SEQUENCE T2 -prepared stimulated echo acquisition mode (STEAM) magnetic resonance spectroscopy (MRS), SPAIR STEAM MRS, and SPAIR T2 -prepared STEAM MRS were performed in the subcutaneous fat of a healthy volunteer's thigh. T2 mapping based on SPAIR 2D MESE and SPAIR T2 -prepared 3D TSE was performed in the NMD patients' thigh region. Multi-TE STEAM MRS was performed for measuring a reference T2w at different thigh locations. ASSESSMENT The behavior of the fat spectrum in the SPAIR T2 -prepared 3D TSE was simulated using Bloch simulations. The in vivo T2 results of the imaging methods were compared to the in vivo T2w MRS results. STATISTICAL TESTS Pearson correlation coefficient with slope and intercept, relative error. RESULTS The simulated T2 for the SPAIR T2 -prepared 3D TSE sequence remained constant within a relative error of not more than 4% up to a fat fraction of 80%. In vivo T2 values of SPAIR T2 -prepared 3D TSE were in good agreement with the T2w values of STEAM MRS (R = 0.86; slope = 1.12; intercept = -1.41 ms). In vivo T2 values of SPAIR 2D MESE showed large deviations from the T2w values of STEAM MRS (R = 0.14; slope = 0.32; intercept = 38.83 ms). DATA CONCLUSION The proposed SPAIR T2 -prepared 3D TSE shows reduced sensitivity to fatty infiltration for T2w mapping in the thigh muscles of NMD patients. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2020;51:1727-1736.
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Affiliation(s)
- Sarah Schlaeger
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.,Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Dominik Weidlich
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Elisabeth Klupp
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | | | - Marcus Deschauer
- Department of Neurology, Technical University of Munich, Munich, Germany
| | - Benedikt Schoser
- Friedrich-Baur-Institut, Ludwig Maximilian University, Munich, Germany
| | - Sarah Bublitz
- Department of Neurology, Technical University of Munich, Munich, Germany
| | - Stefan Ruschke
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Ernst J Rummeny
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Jan S Kirschke
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
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32
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Schlaeger S, Weidlich D, Klupp E, Montagnese F, Deschauer M, Schoser B, Bublitz S, Ruschke S, Zimmer C, Rummeny EJ, Kirschke JS, Karampinos DC. Decreased water T 2 in fatty infiltrated skeletal muscles of patients with neuromuscular diseases. NMR IN BIOMEDICINE 2019; 32:e4111. [PMID: 31180167 DOI: 10.1002/nbm.4111] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Revised: 03/07/2019] [Accepted: 03/17/2019] [Indexed: 05/22/2023]
Abstract
Quantitative imaging techniques are emerging in the field of magnetic resonance imaging of neuromuscular diseases (NMD). T2 of water (T2w ) is considered an important imaging marker to assess acute and chronic alterations of the muscle fibers, being generally interpreted as an indicator for "disease activity" in the muscle tissue. To validate the accuracy and robustness of quantitative imaging methods, 1 H magnetic resonance spectroscopy (MRS) can be used as a gold standard. The purpose of the present work was to investigate T2w of remaining muscle tissue in regions of higher proton density fat fraction (PDFF) in 40 patients with defined NMD using multi-TE single-voxel 1 H MRS. Patients underwent MR measurements on a 3 T system to perform a multi-TE single-voxel stimulated echo acquisition method (STEAM) MRS (TE = 11/15/20/25(/35) ms) in regions of healthy, edematous and fatty thigh muscle tissue. Muscle regions for MRS were selected based on T2 -weighted water and fat images of a two-echo 2D Dixon TSE. MRS results were confined to regions with qualitatively defined remaining muscle tissue without edema and high fat content, based on visual grading of the imaging data. The results showed decreased T2w values with increasing PDFF with R2 = 0.45 (p < 10-3 ) (linear fit) and with R2 = 0.51 (exponential fit). The observed dependence of T2w on PDFF should be considered when using T2w as a marker in NMD imaging and when performing single-voxel MRS for T2w in regions enclosing edematous, nonedematous and fatty infiltrated muscle tissue.
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Affiliation(s)
- Sarah Schlaeger
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Dominik Weidlich
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Elisabeth Klupp
- Department of Diagnostic and Interventional of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Federica Montagnese
- Friedrich-Baur-Institut, Department of Neurology, Ludwig-Maximilians-University, Munich, Germany
| | - Marcus Deschauer
- Department of Neurology, Technical University of Munich, Munich, Germany
| | - Benedikt Schoser
- Friedrich-Baur-Institut, Department of Neurology, Ludwig-Maximilians-University, Munich, Germany
| | - Sarah Bublitz
- Department of Neurology, Technical University of Munich, Munich, Germany
| | - Stefan Ruschke
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Ernst J Rummeny
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Jan S Kirschke
- Department of Diagnostic and Interventional of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
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33
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Optimizing methods to quantify intramuscular fat in rotator cuff tears with normalization. Skeletal Radiol 2019; 48:1111-1118. [PMID: 30328483 DOI: 10.1007/s00256-018-3090-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 09/26/2018] [Accepted: 10/01/2018] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To determine which normalization method may best account for confounding individual factors, such as age or BMI, when quantifying fat infiltration on MRI in patients with rotator cuff tears, the effects of normalization using three different muscles (teres major; triceps brachii; teres minor) were compared. METHODS Thirty-seven consecutive patients diagnosed with rotator cuff pathology were included. MRI fat-water sequences were used to quantify rotator cuff intramuscular fat (%fat). Three reference muscles (teres major, triceps, teres minor) were used to derive normalized %fat. Relationships between intramuscular %fat and tear size, age, and BMI in each rotator cuff muscle, before and after normalization, were compared with Fisher transformations (α = 0.05). RESULTS Normalization with teres major ameliorated confounding relationships of age and BMI on rotator cuff %fat. In contrast, normalization with triceps maintained the confounding relationships between %fat and age in supraspinatus (p = 0.03) and infraspinatus/teres minor (p = 0.028). Normalization with teres minor maintained the confounding relationship between %fat and BMI in subscapularis (p = 0.039). Normalization with teres major best-maintained relationships between tear size and infraspinatus/teres minor %fat (p = 0.021). In contrast, normalization with triceps or teres minor eliminated all significant relationships with tear size. CONCLUSIONS Results of this pilot study suggest normalization to teres major using MRI-based %fat quantification methods can effectively control for individual factors, such as BMI or age, and may have utility in evaluating and monitoring rotator cuff fat infiltration attributed specifically to a tendon tear.
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Leung DG. Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy. Muscle Nerve 2019; 60:347-360. [PMID: 31026060 DOI: 10.1002/mus.26497] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/23/2019] [Indexed: 12/26/2022]
Abstract
Recent years have seen steady progress in the identification of genetic muscle diseases as well as efforts to develop treatment for these diseases. Consequently, sensitive and objective new methods are required to identify and monitor muscle pathology. Magnetic resonance imaging offers multiple potential biomarkers of disease severity in the muscular dystrophies. This Review uses a pathology-based approach to examine the ways in which MRI and spectroscopy have been used to study muscular dystrophies. Methods that have been used to quantitate intramuscular fat, edema, fiber orientation, metabolism, fibrosis, and vascular perfusion are examined, and this Review describes how MRI can help diagnose these conditions and improve upon existing muscle biomarkers by detecting small increments of disease-related change. Important challenges in the implementation of imaging biomarkers, such as standardization of protocols and validating imaging measurements with respect to clinical outcomes, are also described.
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Affiliation(s)
- Doris G Leung
- Center for Genetic Muscle Disorders, Hugo W. Moser Research Institute at Kennedy Krieger Institute, 716 North Broadway, Room 411, Baltimore, Maryland, 21205.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Yin L, Xie ZY, Xu HY, Zheng SS, Wang ZX, Xiao JX, Yuan Y. T2 Mapping and Fat Quantification of Thigh Muscles in Children with Duchenne Muscular Dystrophy. Curr Med Sci 2019; 39:138-145. [PMID: 30868504 DOI: 10.1007/s11596-019-2012-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 12/12/2018] [Indexed: 11/24/2022]
Abstract
Quantitative magnetic resonance image (MRI) in individual muscles may be useful for monitoring disease progression in Duchenne muscular dystrophy (DMD). The purpose of this study was to measure T2 relaxation time of thigh muscles in children with DMD and healthy boys, and to correlate the T2 relaxation time of muscles with the fat fraction (FF) at quantitative magnetic resonance and results of clinical assessment. Thirty-two boys with DMD and 18 healthy boys were evaluated with T2 mapping and three-point Dixon MRI. Age, body mass index (BMI), muscle strength assessment, timed functional tests (time to walk or run 10 metres, rise from the floor and ascend four stairs), and the North Star Ambulatory Assessment (NSAA) were evaluated. Spearman's correlation was used to assess the relationships between FF and clinical assessments and T2 relaxation time. The mean T2 relaxation time of thigh muscles in DMD was significantly longer than that in the control group (P<0.05), except for the gracilis (P=0.952). The gracilis, sartorius and adductor longus were relatively spared by fatty infiltration in DMD patients. The T2 relaxation time was correlated significantly with the mean FF in all muscles. Age, BMI, total muscle strength score, timed functional tests and NSAA were significantly correlated with the overall mean T2 relaxation time. T2 mapping may prove clinically useful in monitoring muscle changes as a result of the disease process and in predicting the outcome of DMD patients.
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Affiliation(s)
- Liang Yin
- Department of Radiology, Peking University First Hospital, Beijing, 100034, China
| | - Zhi-Ying Xie
- Department of Neurology, Peking University First Hospital, Beijing, 100034, China
| | - Hai-Yan Xu
- Department of Radiology, Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Sui-Sheng Zheng
- Department of Radiology, Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Zhao-Xia Wang
- Department of Neurology, Peking University First Hospital, Beijing, 100034, China
| | - Jiang-Xi Xiao
- Department of Radiology, Peking University First Hospital, Beijing, 100034, China.
| | - Yun Yuan
- Department of Neurology, Peking University First Hospital, Beijing, 100034, China.
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Paoletti M, Pichiecchio A, Cotti Piccinelli S, Tasca G, Berardinelli AL, Padovani A, Filosto M. Advances in Quantitative Imaging of Genetic and Acquired Myopathies: Clinical Applications and Perspectives. Front Neurol 2019; 10:78. [PMID: 30804884 PMCID: PMC6378279 DOI: 10.3389/fneur.2019.00078] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 01/21/2019] [Indexed: 12/11/2022] Open
Abstract
In the last years, magnetic resonance imaging (MRI) has become fundamental for the diagnosis and monitoring of myopathies given its ability to show the severity and distribution of pathology, to identify specific patterns of damage distribution and to properly interpret a number of genetic variants. The advances in MR techniques and post-processing software solutions have greatly expanded the potential to assess pathological changes in muscle diseases, and more specifically of myopathies; a number of features can be studied and quantified, ranging from composition, architecture, mechanical properties, perfusion, and function, leading to what is known as quantitative MRI (qMRI). Such techniques can effectively provide a variety of information beyond what can be seen and assessed by conventional MR imaging; their development and application in clinical practice can play an important role in the diagnostic process and in assessing disease course and treatment response. In this review, we briefly discuss the current role of muscle MRI in diagnosing muscle diseases and describe in detail the potential and perspectives of the application of advanced qMRI techniques in this field.
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Affiliation(s)
- Matteo Paoletti
- Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Anna Pichiecchio
- Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Stefano Cotti Piccinelli
- Unit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, Italy
| | - Giorgio Tasca
- Neurology Department, Dipartimento di Scienze dell'Invecchiamento, Neurologiche, Ortopediche e della Testa-Collo, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | | | - Alessandro Padovani
- Unit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, Italy
| | - Massimiliano Filosto
- Unit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, Italy
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Chabanon A, Seferian AM, Daron A, Péréon Y, Cances C, Vuillerot C, De Waele L, Cuisset JM, Laugel V, Schara U, Gidaro T, Gilabert S, Hogrel JY, Baudin PY, Carlier P, Fournier E, Lowes LP, Hellbach N, Seabrook T, Toledano E, Annoussamy M, Servais L. Prospective and longitudinal natural history study of patients with Type 2 and 3 spinal muscular atrophy: Baseline data NatHis-SMA study. PLoS One 2018; 13:e0201004. [PMID: 30048507 PMCID: PMC6062049 DOI: 10.1371/journal.pone.0201004] [Citation(s) in RCA: 108] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Accepted: 07/05/2018] [Indexed: 12/20/2022] Open
Abstract
Spinal muscular atrophy (SMA) is a monogenic disorder caused by loss of function mutations in the survival motor neuron 1 gene, which results in a broad range of disease severity, from neonatal to adult onset. There is currently a concerted effort to define the natural history of the disease and develop outcome measures that accurately capture its complexity. As several therapeutic strategies are currently under investigation and both the FDA and EMA have recently approved the first medical treatment for SMA, there is a critical need to identify the right association of responsive outcome measures and biomarkers for individual patient follow-up. As an approved treatment becomes available, untreated patients will soon become rare, further intensifying the need for a rapid, prospective and longitudinal study of the natural history of SMA Type 2 and 3. Here we present the baseline assessments of 81 patients aged 2 to 30 years of which 19 are non-sitter SMA Type 2, 34 are sitter SMA Type 2, 9 non-ambulant SMA Type 3 and 19 ambulant SMA Type 3. Collecting these data at nine sites in France, Germany and Belgium established the feasibility of gathering consistent data from numerous and demanding assessments in a multicenter SMA study. Most assessments discriminated between the four groups well. This included the Motor Function Measure (MFM), pulmonary function testing, strength, electroneuromyography, muscle imaging and workspace volume. Additionally, all of the assessments showed good correlation with the MFM score. As the untreated patient population decreases, having reliable and valid multi-site data will be imperative for recruitment in clinical trials. The pending two-year study results will evaluate the sensitivity of the studied outcomes and biomarkers to disease progression. Trial Registration: ClinicalTrials.gov (NCT02391831).
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Affiliation(s)
| | | | - Aurore Daron
- Centre de Référence des Maladies Neuromusculaires, CHU de Liège, Belgium
| | - Yann Péréon
- Centre de Référence Maladies Neuromusculaires Atlantique-Occitanie-Caraïbes, Hôpital Hôtel-Dieu, Nantes, France
| | - Claude Cances
- Centre de Référence des Maladies Neuromusculaires, Hôpital des Enfants, Toulouse, France
- Unité de neurologie pédiatrique, Hôpital des Enfants, Toulouse, France
| | - Carole Vuillerot
- Service de rééducation pédiatrique infantile”L’Escale”, Hôpital Mère Enfant, CHU-Lyon, Lyon, France
| | - Liesbeth De Waele
- Department of Pediatric Neurology, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven Kulak Kortijk, Kortrijk, Belgium
| | - Jean-Marie Cuisset
- Centre de Référence des Maladies Neuromusculaires, Hôpital Roger Salengro, Lille, France
- Service de Neuropédiatrie, Hôpital Roger Salengro, Lille, France
| | - Vincent Laugel
- Neuropédiatrie/INSERM CIC 1434, CHU Strasbourg Hautepierre, Strasbourg, France
| | - Ulrike Schara
- Paediatric neurology and neuromuscular center, University of Essen, Essen, Germany
| | - Teresa Gidaro
- Institute of Myology, GH Pitié Salpêtrière, Paris, France
| | | | | | - Pierre-Yves Baudin
- Consultants for Research in Imaging and Spectroscopy (CRIS), Tournai, Belgium
| | - Pierre Carlier
- Institute of Myology, GH Pitié Salpêtrière, Paris, France
| | | | - Linda Pax Lowes
- Center for Gene Therapy, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Nicole Hellbach
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center, Basel, Switzerland
| | - Timothy Seabrook
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center, Basel, Switzerland
| | | | | | - Laurent Servais
- Institute of Myology, GH Pitié Salpêtrière, Paris, France
- Centre de Référence des Maladies Neuromusculaires, CHU de Liège, Belgium
- Service de Pédiatrie, CHU de Liège, Liège, Belgium
- * E-mail:
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38
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Carlier PG, Marty B, Scheidegger O, Loureiro de Sousa P, Baudin PY, Snezhko E, Vlodavets D. Skeletal Muscle Quantitative Nuclear Magnetic Resonance Imaging and Spectroscopy as an Outcome Measure for Clinical Trials. J Neuromuscul Dis 2018; 3:1-28. [PMID: 27854210 PMCID: PMC5271435 DOI: 10.3233/jnd-160145] [Citation(s) in RCA: 132] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Recent years have seen tremendous progress towards therapy of many previously incurable neuromuscular diseases. This new context has acted as a driving force for the development of novel non-invasive outcome measures. These can be organized in three main categories: functional tools, fluid biomarkers and imagery. In the latest category, nuclear magnetic resonance imaging (NMRI) offers a considerable range of possibilities for the characterization of skeletal muscle composition, function and metabolism. Nowadays, three NMR outcome measures are frequently integrated in clinical research protocols. They are: 1/ the muscle cross sectional area or volume, 2/ the percentage of intramuscular fat and 3/ the muscle water T2, which quantity muscle trophicity, chronic fatty degenerative changes and oedema (or more broadly, “disease activity”), respectively. A fourth biomarker, the contractile tissue volume is easily derived from the first two ones. The fat fraction maps most often acquired with Dixon sequences have proven their capability to detect small changes in muscle composition and have repeatedly shown superior sensitivity over standard functional evaluation. This outcome measure will more than likely be the first of the series to be validated as an endpoint by regulatory agencies. The versatility of contrast generated by NMR has opened many additional possibilities for characterization of the skeletal muscle and will result in the proposal of more NMR biomarkers. Ultra-short TE (UTE) sequences, late gadolinium enhancement and NMR elastography are being investigated as candidates to evaluate skeletal muscle interstitial fibrosis. Many options exist to measure muscle perfusion and oxygenation by NMR. Diffusion NMR as well as texture analysis algorithms could generate complementary information on muscle organization at microscopic and mesoscopic scales, respectively. 31P NMR spectroscopy is the reference technique to assess muscle energetics non-invasively during and after exercise. In dystrophic muscle, 31P NMR spectrum at rest is profoundly perturbed, and several resonances inform on cell membrane integrity. Considerable efforts are being directed towards acceleration of image acquisitions using a variety of approaches, from the extraction of fat content and water T2 maps from one single acquisition to partial matrices acquisition schemes. Spectacular decreases in examination time are expected in the near future. They will reinforce the attractiveness of NMR outcome measures and will further facilitate their integration in clinical research trials.
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Affiliation(s)
- Pierre G Carlier
- Institute of Myology, Pitie-Salpetriere University Hospital, Paris, France.,CEA, DSV, I2BM, MIRCen, NMR Laboratory, Paris, France.,National Academy of Sciences, United Institute for Informatics Problems, Minsk, Belarus
| | - Benjamin Marty
- Institute of Myology, Pitie-Salpetriere University Hospital, Paris, France.,CEA, DSV, I2BM, MIRCen, NMR Laboratory, Paris, France
| | - Olivier Scheidegger
- Institute of Myology, Pitie-Salpetriere University Hospital, Paris, France.,Support Center for Advanced Neuroimaging (SCAN), Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, and University of Bern, Switzerland
| | | | | | - Eduard Snezhko
- National Academy of Sciences, United Institute for Informatics Problems, Minsk, Belarus
| | - Dmitry Vlodavets
- N.I. Prirogov Russian National Medical Research University, Clinical Research Institute of Pediatrics, Moscow, Russian Federation
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Timed function tests, motor function measure, and quantitative thigh muscle MRI in ambulant children with Duchenne muscular dystrophy: A cross-sectional analysis. Neuromuscul Disord 2017; 28:16-23. [PMID: 29174526 DOI: 10.1016/j.nmd.2017.10.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 09/08/2017] [Accepted: 10/17/2017] [Indexed: 12/25/2022]
Abstract
The development of new therapeutic agents for the treatment of Duchenne muscular dystrophy has put a focus on defining outcome measures most sensitive to capture treatment effects. This cross-sectional analysis investigates the relation between validated clinical assessments such as the 6-minute walk test, motor function measure and quantitative muscle MRI of thigh muscles in ambulant Duchenne muscular dystrophy patients, aged 6.5 to 10.8 years (mean 8.2, SD 1.1). Quantitative muscle MRI included the mean fat fraction using a 2-point Dixon technique, and transverse relaxation time (T2) measurements. All clinical assessments were highly significantly inter-correlated with p < 0.001. The strongest correlation with the motor function measure and its D1-subscore was shown by the 6-minute walk test. Clinical assessments showed no correlation with age. Importantly, quantitative muscle MRI values significantly correlated with all clinical assessments with the extensors showing the strongest correlation. In contrast to the clinical assessments, quantitative muscle MRI values were highly significantly correlated with age. In conclusion, the motor function measure and timed function tests measure disease severity in a highly comparable fashion and all tests correlated with quantitative muscle MRI values quantifying fatty muscle degeneration.
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40
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Mankodi A, Azzabou N, Bulea T, Reyngoudt H, Shimellis H, Ren Y, Kim E, Fischbeck KH, Carlier PG. Skeletal muscle water T 2 as a biomarker of disease status and exercise effects in patients with Duchenne muscular dystrophy. Neuromuscul Disord 2017; 27:705-714. [PMID: 28601553 DOI: 10.1016/j.nmd.2017.04.008] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 04/19/2017] [Accepted: 04/19/2017] [Indexed: 12/16/2022]
Abstract
The purpose of this study was to examine exercise effects on muscle water T2 in patients with Duchenne muscular dystrophy (DMD). In 12 DMD subjects and 19 controls, lower leg muscle fat (%) was measured by Dixon and muscle water T2 and R2 (1/T2) by the tri-exponential model. Muscle water R2 was measured again at 3 hours after an ankle dorsiflexion exercise. The muscle fat fraction was higher in DMD participants than in controls (p < .001) except in the tibialis posterior muscle. Muscle water T2 was measured independent of the degree of fatty degeneration in DMD muscle. At baseline, muscle water T2 was higher in all but the extensor digitorum longus muscles of DMD participants than controls (p < .001). DMD participants had a lower muscle torque (p < .001) and exerted less power (p < .01) during exercise than controls. Nevertheless, muscle water R2 decreased (T2 increased) after exercise from baseline in DMD subjects and controls with greater changes in the target muscles of the exercise than in ankle plantarflexor muscles. Skeletal muscle water T2 is a sensitive biomarker of the disease status in DMD and of the exercise response in DMD patients and controls.
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Affiliation(s)
- Ami Mankodi
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
| | - Noura Azzabou
- NMR Laboratory, DRF, I2BM, MIRCen, Institute of Myology, Pitie-Salpetriere University Hospital and CEA, Paris, France
| | - Thomas Bulea
- Functional & Applied Biomechanics Section, Rehabilitation Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Harmen Reyngoudt
- NMR Laboratory, DRF, I2BM, MIRCen, Institute of Myology, Pitie-Salpetriere University Hospital and CEA, Paris, France
| | - Hirity Shimellis
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | | | - Eunhee Kim
- Office of Biostatistics, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Kenneth H Fischbeck
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Pierre G Carlier
- NMR Laboratory, DRF, I2BM, MIRCen, Institute of Myology, Pitie-Salpetriere University Hospital and CEA, Paris, France
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41
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Hooijmans MT, Niks EH, Burakiewicz J, Verschuuren JJGM, Webb AG, Kan HE. Elevated phosphodiester and T 2 levels can be measured in the absence of fat infiltration in Duchenne muscular dystrophy patients. NMR IN BIOMEDICINE 2017; 30:e3667. [PMID: 27859827 DOI: 10.1002/nbm.3667] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 10/10/2016] [Accepted: 10/10/2016] [Indexed: 05/27/2023]
Abstract
Quantitative MRI and MRS are increasingly important as non-invasive outcome measures in therapy development for Duchenne muscular dystrophy (DMD). Many studies have focussed on individual measures such as fat fraction and metabolite levels in relation to age and functionality, but much less attention has been given to how these indices relate to each other. Here, we assessed spatially resolved metabolic changes in leg muscles of DMD patients, and classified muscles according to the degree of fat replacement compared with healthy controls. Quantitative MRI (three-point Dixon and multi-spin echo without fat suppression and a tri-exponential fit) and 2D-CSI 31 P MRS scans were obtained from 18 DMD patients and 12 healthy controls using a 3 T and a 7 T MR scanner. Metabolite levels, T2 values and fat fraction were individually assessed for five lower leg muscles. In muscles with extensive fat replacement, phosphodiester over adenosine triphosphate (PDE/ATP), inorganic phosphate over phosphocreatine, intracellular tissue pH and T2 were significantly increased compared with healthy controls. In contrast, in muscles without extensive fat replacement, only PDE/ATP and T2 values were significantly elevated. Overall, our results show that PDE levels and T2 values increase prior to the occurrence of fat replacement and remain elevated in later stages of the disease. This suggests that these individual measures could not only function as early markers for muscle damage but also reflect potentially reversible pathology in the more advanced stages.
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Affiliation(s)
- M T Hooijmans
- Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands
| | - E H Niks
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - J Burakiewicz
- Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands
| | - J J G M Verschuuren
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - A G Webb
- Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands
| | - H E Kan
- Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands
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42
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Damon BM, Li K, Dortch RD, Welch EB, Park JH, Buck AKW, Towse TF, Does MD, Gochberg DF, Bryant ND. Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease. J Vis Exp 2016. [PMID: 28060254 DOI: 10.3791/52352] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Quantitative magnetic resonance imaging (qMRI) describes the development and use of MRI to quantify physical, chemical, and/or biological properties of living systems. Neuromuscular diseases often exhibit a temporally varying, spatially heterogeneous, and multi-faceted pathology. The goal of this protocol is to characterize this pathology using qMRI methods. The MRI acquisition protocol begins with localizer images (used to locate the position of the body and tissue of interest within the MRI system), quality control measurements of relevant magnetic field distributions, and structural imaging for general anatomical characterization. The qMRI portion of the protocol includes measurements of the longitudinal and transverse relaxation time constants (T1 and T2, respectively). Also acquired are diffusion-tensor MRI data, in which water diffusivity is measured and used to infer pathological processes such as edema. Quantitative magnetization transfer imaging is used to characterize the relative tissue content of macromolecular and free water protons. Lastly, fat-water MRI methods are used to characterize fibro-adipose tissue replacement of muscle. In addition to describing the data acquisition and analysis procedures, this paper also discusses the potential problems associated with these methods, the analysis and interpretation of the data, MRI safety, and strategies for artifact reduction and protocol optimization.
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Affiliation(s)
- Bruce M Damon
- Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University; Department of Biomedical Engineering, Vanderbilt University; Department of Molecular Physiology and Biophysics, Vanderbilt University;
| | - Ke Li
- Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University
| | - Richard D Dortch
- Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University
| | - E Brian Welch
- Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University
| | - Jane H Park
- Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University; Department of Molecular Physiology and Biophysics, Vanderbilt University
| | - Amanda K W Buck
- Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University
| | - Theodore F Towse
- Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University; Department of Physical Medicine and Rehabilitation, Vanderbilt University
| | - Mark D Does
- Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University; Department of Biomedical Engineering, Vanderbilt University
| | - Daniel F Gochberg
- Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University; Department of Physics and Astronomy, Vanderbilt University
| | - Nathan D Bryant
- Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University
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43
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Sinclair CD, Morrow JM, Janiczek RL, Evans MR, Rawah E, Shah S, Hanna MG, Reilly MM, Yousry TA, Thornton JS. Stability and sensitivity of water T 2 obtained with IDEAL-CPMG in healthy and fat-infiltrated skeletal muscle. NMR IN BIOMEDICINE 2016; 29:1800-1812. [PMID: 27809381 PMCID: PMC5132140 DOI: 10.1002/nbm.3654] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Revised: 08/05/2016] [Accepted: 08/29/2016] [Indexed: 05/15/2023]
Abstract
Quantifying muscle water T2 (T2 -water) independently of intramuscular fat content is essential in establishing T2 -water as an outcome measure for imminent new therapy trials in neuromuscular diseases. IDEAL-CPMG combines chemical shift fat-water separation with T2 relaxometry to obtain such a measure. Here we evaluate the reproducibility and B1 sensitivity of IDEAL-CPMG T2 -water and fat fraction (f.f.) values in healthy subjects, and demonstrate the potential of the method to quantify T2 -water variation in diseased muscle displaying varying degrees of fatty infiltration. The calf muscles of 11 healthy individuals (40.5 ± 10.2 years) were scanned twice at 3 T with an inter-scan interval of 4 weeks using IDEAL-CPMG, and 12 patients with hypokalemic periodic paralysis (HypoPP) (42.3 ± 11.5 years) were also imaged. An exponential was fitted to the signal decay of the separated water and fat components to determine T2 -water and the fat signal amplitude muscle regions manually segmented. Overall mean calf-level muscle T2 -water in healthy subjects was 31.2 ± 2.0 ms, without significant inter-muscle differences (p = 0.37). Inter-subject and inter-scan coefficients of variation were 5.7% and 3.2% respectively for T2 -water and 41.1% and 15.4% for f.f. Bland-Altman mean bias and ±95% coefficients of repeatability were for T2 -water (0.15, -2.65, 2.95) ms and f.f. (-0.02, -1.99, 2.03)%. There was no relationship between T2 -water (ρ = 0.16, p = 0.07) or f.f. (ρ = 0.03, p = 0.7761) and B1 error or any correlation between T2 -water and f.f. in the healthy subjects (ρ = 0.07, p = 0.40). In HypoPP there was a measurable relationship between T2 -water and f.f. (ρ = 0.59, p < 0.001). IDEAL-CPMG provides a feasible way to quantify T2 -water in muscle that is reproducible and sensitive to meaningful physiological changes without post hoc modeling of the fat contribution. In patients, IDEAL-CPMG measured elevations in T2 -water and f.f. while showing a weak relationship between these parameters, thus showing promise as a practical means of quantifying muscle water in patient populations.
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Affiliation(s)
- Christopher D.J. Sinclair
- UCL Institute of Neurology, MRC Centre for Neuromuscular DiseasesLondonWC1N 3BGUK
- UCL Institute of Neurology, Neuroradiological Academic UnitLondonWC1N 3BGUK
| | - Jasper M. Morrow
- UCL Institute of Neurology, MRC Centre for Neuromuscular DiseasesLondonWC1N 3BGUK
| | | | - Matthew R.B. Evans
- UCL Institute of Neurology, MRC Centre for Neuromuscular DiseasesLondonWC1N 3BGUK
| | - Elham Rawah
- UCL Institute of Neurology, Neuroradiological Academic UnitLondonWC1N 3BGUK
| | - Sachit Shah
- UCL Institute of Neurology, Neuroradiological Academic UnitLondonWC1N 3BGUK
| | - Michael G. Hanna
- UCL Institute of Neurology, MRC Centre for Neuromuscular DiseasesLondonWC1N 3BGUK
| | - Mary M. Reilly
- UCL Institute of Neurology, MRC Centre for Neuromuscular DiseasesLondonWC1N 3BGUK
| | - Tarek A. Yousry
- UCL Institute of Neurology, MRC Centre for Neuromuscular DiseasesLondonWC1N 3BGUK
- UCL Institute of Neurology, Neuroradiological Academic UnitLondonWC1N 3BGUK
| | - John S. Thornton
- UCL Institute of Neurology, MRC Centre for Neuromuscular DiseasesLondonWC1N 3BGUK
- UCL Institute of Neurology, Neuroradiological Academic UnitLondonWC1N 3BGUK
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Quantifying disease activity in fatty-infiltrated skeletal muscle by IDEAL-CPMG in Duchenne muscular dystrophy. Neuromuscul Disord 2016; 26:650-658. [PMID: 27593185 DOI: 10.1016/j.nmd.2016.07.013] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2016] [Revised: 05/27/2016] [Accepted: 07/25/2016] [Indexed: 12/17/2022]
Abstract
The purpose of this study was to explore the use of iterative decomposition of water and fat with echo asymmetry and least-squares estimation Carr-Purcell-Meiboom-Gill (IDEAL-CPMG) to simultaneously measure skeletal muscle apparent fat fraction and water T2 (T2,w) in patients with Duchenne muscular dystrophy (DMD). In twenty healthy volunteer boys and thirteen subjects with DMD, thigh muscle apparent fat fraction was measured by Dixon and IDEAL-CPMG, with the IDEAL-CPMG also providing T2,w as a measure of muscle inflammatory activity. A subset of subjects with DMD was followed up during a 48-week clinical study. The study was in compliance with the Patient Privacy Act and approved by the Institutional Review Board. Apparent fat fraction in the thigh muscles of subjects with DMD was significantly increased compared to healthy volunteer boys (p <0.001). There was a strong correlation between Dixon and IDEAL-CPMG apparent fat fraction. Muscle T2,w measured by IDEAL-CPMG was independent of changes in apparent fat fraction. Muscle T2,w was higher in the biceps femoris and vastus lateralis muscles of subjects with DMD (p <0.05). There was a strong correlation (p <0.004) between apparent fat fraction in all thigh muscles and six-minute walk distance (6MWD) in subjects with DMD. IDEAL-CPMG allowed independent and simultaneous quantification of skeletal muscle fatty degeneration and disease activity in DMD. IDEAL-CPMG apparent fat fraction and T2,w may be useful as biomarkers in clinical trials of DMD as the technique disentangles two competing biological processes.
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Fischer D, Hafner P, Rubino D, Schmid M, Neuhaus C, Jung H, Bieri O, Haas T, Gloor M, Fischmann A, Bonati U. The 6-minute walk test, motor function measure and quantitative thigh muscle MRI in Becker muscular dystrophy: A cross-sectional study. Neuromuscul Disord 2016; 26:414-22. [PMID: 27209345 DOI: 10.1016/j.nmd.2016.04.009] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Revised: 04/06/2016] [Accepted: 04/07/2016] [Indexed: 11/17/2022]
Abstract
Becker muscular dystrophy (BMD) has an incidence of 1 in 16 000 male births. This cross-sectional study investigated the relation between validated functional scores and quantitative MRI (qMRI) of thigh muscles in 20 ambulatory BMD patients, aged 18.3-60 years (mean 31.2; SD 11.1). Clinical assessments included the motor function measure (MFM) and its subscales, as well as timed function tests such as the 6-minute walk test (6MWT) and the timed 10-m run/walk test. Quantitative MRI of the thigh muscles included the mean fat fraction (MFF) using a 2-point Dixon (2-PD) technique, and transverse relaxation time (T2) measurements. The mean MFM value was 80.4%, SD 9.44 and the D1 subscore 54.5%, SD 19.9. The median 6MWT was 195m, IQR 160-330.2. The median 10-m run/walk test was 7.4 seconds, IQR 6.1-9.3. The mean fat fraction of the thigh muscles was 55.6%, SD 17.4%, mean T2 relaxation times of all muscles: 69.9 ms, SD 14.4. The flexors had the highest MFF and T2 relaxation times, followed by the extensors and the adductors. MFF and global T2 relaxation times were highly negatively correlated with the MFM total, D1-subscore and 6MWT, and positively correlated with the 10 m run/walk test time (p < 0.01). Age was not correlated with MFF, global T2 relaxation time or clinical assessments. Both MFF and T2 measures in the thigh muscle were well correlated with clinical function in BMD and may serve as a surrogate outcome measure in clinical trials.
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Affiliation(s)
- Dirk Fischer
- Division of Neuropaediatrics, University of Basel Children's Hospital, Switzerland; University Clinic of Internal Medicine, Kantonsspital Baselland, Bruderholz, Switzerland; Department of Neurology, University of Basel Hospital, Switzerland
| | - Patricia Hafner
- Division of Neuropaediatrics, University of Basel Children's Hospital, Switzerland; University Clinic of Internal Medicine, Kantonsspital Baselland, Bruderholz, Switzerland
| | - Daniela Rubino
- Division of Neuropaediatrics, University of Basel Children's Hospital, Switzerland
| | - Maurice Schmid
- Division of Neuropaediatrics, University of Basel Children's Hospital, Switzerland
| | - Cornelia Neuhaus
- Therapy Department, University of Basel Children's Hospital, Switzerland
| | - Hans Jung
- Department of Neurology, University Hospital and University of Zurich, Switzerland
| | - Oliver Bieri
- Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Switzerland
| | - Tanja Haas
- Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Switzerland
| | - Monika Gloor
- Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Switzerland
| | - Arne Fischmann
- Division of Neuroradiology, Institute of Radiology, University of Basel Hospital, Switzerland; Hirslanden Klinik St. Anna, Lucerne, Switzerland
| | - Ulrike Bonati
- Division of Neuropaediatrics, University of Basel Children's Hospital, Switzerland.
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Damon BM, Li K, Bryant ND. Magnetic resonance imaging of skeletal muscle disease. HANDBOOK OF CLINICAL NEUROLOGY 2016; 136:827-42. [PMID: 27430444 DOI: 10.1016/b978-0-444-53486-6.00041-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Neuromuscular diseases often exhibit a temporally varying, spatially heterogeneous, and multifaceted pathology. The goals of this chapter are to describe and evaluate the use of quantitative magnetic resonance imaging (MRI) methods to characterize muscle pathology. The following criteria are used for this evaluation: objective measurement of continuously distributed variables; clear and well-understood relationship to the pathology of interest; sensitivity to improvement or worsening of clinical status; and the measurement properties of accuracy and precision. Two major classes of MRI methods meet all of these criteria: (1) MRI methods for measuring muscle contractile volume or cross-sectional area by combining structural MRI and quantitative fat-water MRI; and (2) an MRI method for characterizing the edema caused by inflammation, the measurement of the transverse relaxation time constant (T2). These methods are evaluated with respect to the four criteria listed above and examples from neuromuscular disorders are provided. Finally, these methods are summarized and synthesized and recommendations for additional quantitative MRI developments are made.
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Affiliation(s)
- Bruce M Damon
- Vanderbilt University Institute of Imaging Science and the Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA; Departments of Biomedical Engineering and Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA.
| | - Ke Li
- Vanderbilt University Institute of Imaging Science and the Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Nathan D Bryant
- Vanderbilt University Institute of Imaging Science and the Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
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Wokke BH, Van Den Bergen JC, Hooijmans MT, Verschuuren JJ, Niks EH, Kan HE. T2 relaxation times are increased in Skeletal muscle of DMD but not BMD patients. Muscle Nerve 2015; 53:38-43. [PMID: 25847364 DOI: 10.1002/mus.24679] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/02/2015] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Exon-skipping drugs in Duchenne muscular dystrophy (DMD) aim to restore truncated dystrophin expression, which is present in the milder Becker muscular dystrophy (BMD). MRI skeletal muscle T2 relaxation times as a representation of edema/inflammation could be quantitative outcome parameters for such trials. METHODS We studied T2 relaxation times, adjusted for muscle fat fraction using Dixon MRI, in lower leg muscles of DMD and BMD patients and healthy controls. RESULTS T2 relaxation times correlated significantly with fat fractions in patients only (P < 0.001). After adjusting for muscle fat, T2 relaxation times were significantly increased in 6 muscles of DMD patients (P < 0.01), except for the extensor digitorum longus. In BMD, T2 relaxation times were unchanged. CONCLUSIONS T2 relaxation times could be a useful outcome parameter in exon-skipping trials in DMD but are influenced by fat despite fat suppression. This should be accounted for when using quantitative T2 mapping to investigate edema/inflammation.
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Affiliation(s)
- Beatrijs H Wokke
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Melissa T Hooijmans
- C.J. Gorter Centre for high field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jan J Verschuuren
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Erik H Niks
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Hermien E Kan
- C.J. Gorter Centre for high field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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Morrow JM, Sinclair CDJ, Fischmann A, Machado PM, Reilly MM, Yousry TA, Thornton JS, Hanna MG. MRI biomarker assessment of neuromuscular disease progression: a prospective observational cohort study. Lancet Neurol 2015; 15:65-77. [PMID: 26549782 PMCID: PMC4672173 DOI: 10.1016/s1474-4422(15)00242-2] [Citation(s) in RCA: 236] [Impact Index Per Article: 26.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Revised: 08/10/2015] [Accepted: 09/04/2015] [Indexed: 12/17/2022]
Abstract
BACKGROUND A substantial impediment to progress in trials of new therapies in neuromuscular disorders is the absence of responsive outcome measures that correlate with patient functional deficits and are sensitive to early disease processes. Irrespective of the primary molecular defect, neuromuscular disorder pathological processes include disturbance of intramuscular water distribution followed by intramuscular fat accumulation, both quantifiable by MRI. In pathologically distinct neuromuscular disorders, we aimed to determine the comparative responsiveness of MRI outcome measures over 1 year, the validity of MRI outcome measures by cross-sectional correlation against functionally relevant clinical measures, and the sensitivity of specific MRI indices to early muscle water changes before intramuscular fat accumulation beyond the healthy control range. METHODS We did a prospective observational cohort study of patients with either Charcot-Marie-Tooth disease 1A or inclusion body myositis who were attending the inherited neuropathy or muscle clinics at the Medical Research Council (MRC) Centre for Neuromuscular Diseases, National Hospital for Neurology and Neurosurgery, London, UK. Genetic confirmation of the chromosome 17p11.2 duplication was required for Charcot-Marie-Tooth disease 1A, and classification as pathologically or clinically definite by MRC criteria was required for inclusion body myositis. Exclusion criteria were concomitant diseases and safety-related MRI contraindications. Healthy age-matched and sex-matched controls were also recruited. Assessments were done at baseline and 1 year. The MRI outcomes-fat fraction, transverse relaxation time (T2), and magnetisation transfer ratio (MTR)-were analysed during the 12-month follow-up, by measuring correlation with functionally relevant clinical measures, and for T2 and MTR, sensitivity in muscles with fat fraction less than the 95th percentile of the control group. FINDINGS Between Jan 19, 2010, and July 7, 2011, we recruited 20 patients with Charcot-Marie-Tooth disease 1A, 20 patients with inclusion body myositis, and 29 healthy controls (allocated to one or both of the 20-participant matched-control subgroups). Whole muscle fat fraction increased significantly during the 12-month follow-up at calf level (mean absolute change 1.2%, 95% CI 0.5-1.9, p=0.002) but not thigh level (0.2%, -0.2 to 0.6, p=0.38) in patients with Charcot-Marie-Tooth disease 1A, and at calf level (2.6%, 1.3-4.0, p=0.002) and thigh level (3.3%, 1.8-4.9, p=0.0007) in patients with inclusion body myositis. Fat fraction correlated with the lower limb components of the inclusion body myositis functional rating score (ρ=-0.64, p=0.002) and the Charcot-Marie-Tooth examination score (ρ=0.63, p=0.003). Longitudinal T2 and MTR changed consistently with fat fraction but more variably. In muscles with a fat fraction lower than the control group 95th percentile, T2 was increased in patients compared with controls (regression coefficients: inclusion body myositis thigh 4.0 ms [SE 0.5], calf 3.5 ms [0.6]; Charcot-Marie-Tooth 1A thigh 1.0 ms [0.3], calf 2.0 ms [0.3]) and MTR reduced compared with controls (inclusion body myositis thigh -1.5 percentage units [pu; 0.2], calf -1.1 pu [0.2]; Charcot-Marie-Tooth 1A thigh -0.3 pu [0.1], calf -0.7 pu [0.1]). INTERPRETATION MRI outcome measures can monitor intramuscular fat accumulation with high responsiveness, show validity by correlation with conventional functional measures, and detect muscle water changes preceding marked intramuscular fat accumulation. Confirmation of our results in further cohorts with these and other muscle-wasting disorders would suggest that MRI biomarkers might prove valuable in experimental trials. FUNDING Medical Research Council UK.
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Affiliation(s)
- Jasper M Morrow
- MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology, London, UK
| | - Christopher D J Sinclair
- MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology, London, UK; Neuroradiological Academic Unit, UCL Institute of Neurology, London, UK
| | - Arne Fischmann
- Neuroradiological Academic Unit, UCL Institute of Neurology, London, UK; Department of Radiology, University of Basel Hospital, Basel, Switzerland
| | - Pedro M Machado
- MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology, London, UK
| | - Mary M Reilly
- MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology, London, UK
| | - Tarek A Yousry
- MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology, London, UK; Neuroradiological Academic Unit, UCL Institute of Neurology, London, UK; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, UK.
| | - John S Thornton
- MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology, London, UK; Neuroradiological Academic Unit, UCL Institute of Neurology, London, UK; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Michael G Hanna
- MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology, London, UK
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Maurer B, Walker UA. Role of MRI in Diagnosis and Management of Idiopathic Inflammatory Myopathies. Curr Rheumatol Rep 2015; 17:67. [DOI: 10.1007/s11926-015-0544-x] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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Wary C, Azzabou N, Giraudeau C, Le Louër J, Montus M, Voit T, Servais L, Carlier P. Quantitative NMRI and NMRS identify augmented disease progression after loss of ambulation in forearms of boys with Duchenne muscular dystrophy. NMR IN BIOMEDICINE 2015; 28:1150-1162. [PMID: 26215733 DOI: 10.1002/nbm.3352] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Revised: 04/27/2015] [Accepted: 06/03/2015] [Indexed: 05/27/2023]
Abstract
Quantitative NMRI and (31)P NMRS indices are reported in the forearms of 24 patients with Duchenne muscular dystrophy (DMD) (6-18 years, 14 non-ambulant) amenable to exon 53 skipping therapy and in 12 age-matched male controls (CONT). Examinations carried out at 3 T comprised multi-slice 17-echo measurements of muscle water T2 and heterogeneity, three-point Dixon imaging of fat fraction in flexor and extensor muscles (FLEX, EXT), and non-localised spectroscopy of phosphate metabolites. We studied four imaging indices, eight metabolic ratios combining ATP, phosphocreatine, phosphomonoesters and phosphodiesters, the cytosolic inorganic phosphate (Pia ) and an alkaline (Pib) pool present in dystrophic muscle, and average pH. All indices differed between DMD and CONT, except for muscle water T2 . Measurements were outside the 95th percentile of age-matched CONT values in over 65% of cases for percentage fat signal (%F), and in 78-100% of cases for all spectroscopic indices. T2 was elevated in one-third of FLEX measurements, whereas %pixels > 39 ms and T2 heterogeneity were abnormal in one-half of the examinations. The FLEX muscles had higher fat infiltration and T2 than EXT muscle groups. All indices, except pH, correlated with patient age, although the correlation was negative for T2 . However, in non-ambulant patients, the correlation with years since loss of ambulation was stronger than the correlation with age, and the slope of evolution per year was steeper after loss of ambulation. All indices except Pi/gATP differed between ambulant and non-ambulant patients; however, T2 and %pixels > 39 ms were highest in ambulant patients, possibly owing to the greater extent of inflammatory processes earlier in the disease. All other indices were worse in non-ambulant subjects. Quantitative measurements obtained from patients at different disease stages covered a broad range of abnormalities that evolved with the disease, and metabolic indices were up to 10-fold above normal from the onset, thus establishing a variety of potential markers for future therapy.
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Affiliation(s)
- Claire Wary
- AIM-CEA, Institute of Myology, NMR Laboratory, Paris, France
- CEA, I2BM, MIRCen, IdM NMR Laboratory, Paris, France
- UPMC University, Paris 06, Paris, France
| | - Noura Azzabou
- AIM-CEA, Institute of Myology, NMR Laboratory, Paris, France
- CEA, I2BM, MIRCen, IdM NMR Laboratory, Paris, France
- UPMC University, Paris 06, Paris, France
| | - Céline Giraudeau
- AIM-CEA, Institute of Myology, NMR Laboratory, Paris, France
- CEA, I2BM, MIRCen, IdM NMR Laboratory, Paris, France
- UPMC University, Paris 06, Paris, France
| | - Julien Le Louër
- AIM-CEA, Institute of Myology, NMR Laboratory, Paris, France
- CEA, I2BM, MIRCen, IdM NMR Laboratory, Paris, France
- UPMC University, Paris 06, Paris, France
| | | | - Thomas Voit
- Institute of Myology, UPMC-INSERM U974, CNRS FRE 3617, Paris, France
| | - Laurent Servais
- Institute of Myology, Clinical Trial and Database Unit, Paris, France
| | - Pierre Carlier
- AIM-CEA, Institute of Myology, NMR Laboratory, Paris, France
- CEA, I2BM, MIRCen, IdM NMR Laboratory, Paris, France
- UPMC University, Paris 06, Paris, France
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